intogen.nf

nextflow.enable.dsl=1
// Set here a list of files or directories to use. E.g. Channel.fromPath(["/path/*", "/path2/file"], type: 'any')
INPUT = Channel.fromPath(params.input.tokenize())
OUTPUT = params.output
STEPS_FOLDER = params.stepsFolder
ANNOTATIONS = Channel.value(params.annotations)
REGIONS = Channel.value("${params.datasets}/regions/cds.regions.gz")



process DownloadDatasets {
    tag "Download datasets"
    label "core"

    output:
    path "./*" into REFERENCE_FILES

    script:
    """
    mkdir -p ./datasets/
    aws s3 cp s3://org.umccr.nf-tower.general/intogen-plus-2024/datasets/ ./datasets/ --recursive
    mkdir -p ./config/
    aws s3 cp s3://org.umccr.nf-tower.general/intogen-plus-2024/config/annotations.txt ./config/
    """
    }


process ParseInput {
	tag "Parse input ${input}"
	label "core"
	publishDir "${STEPS_FOLDER}/inputs", mode: "copy"
	errorStrategy 'finish'
	input:
		path input from INPUT
		path annotations from ANNOTATIONS

	output:
		path("*.parsed.tsv.gz") into COHORTS

	script:
		
		if (input.startsWith("s3://")) {
		    println "Processing S3 input path: ${input}"
		    if (input.endsWith(".bginfo")) {
		        """
		        aws s3 cp ${input} - | openvar groupby --header -g DATASET -q -s 'gzip > \${GROUP_KEY}.parsed.tsv.gz'
		        """
		    } else {
		        cohort = input.tokenize('/').last().split('\\.')[0]
		        """
		        aws s3 cp ${input} - | openvar cat --header | gzip > ${cohort}.parsed.tsv.gz
		        """
		    }
		} else {
		    println "Processing local input path: ${input}"
		    if (file(input).isDirectory() || input.endsWith(".bginfo")) {
		        """
		        openvar groupby ${input} --header -g DATASET -q -s 'gzip > \${GROUP_KEY}.parsed.tsv.gz'
		        """
		    } else {
		        cohort = file(input).baseName.split('\\.')[0]
		        """
		        openvar cat ${input} --header | gzip > ${cohort}.parsed.tsv.gz
		        """
		    }
		}
}


COHORTS
	.flatten()
	.map{it -> [it.baseName.split('\\.')[0], it]}
	.into{ COHORTS1; COHORTS2; COHORTS3; COHORTS4; COHORTS5 }

process LoadCancer {
	tag "Load cancer type ${cohort}"
	label "core"

	input:
		tuple val(cohort), path(input) from COHORTS1

	output:
		tuple val(cohort), stdout into CANCERS

	script:
		"""
		get_field.sh ${input} CANCER
		"""
}

CANCERS.into { CANCERS1; CANCERS2; CANCERS3 }


process LoadPlatform {
	tag "Load sequencing platform ${cohort}"
	label "core"

	input:
		tuple val(cohort), path(input) from COHORTS2

	output:
		tuple val(cohort), stdout into PLATFORMS

	script:
		"""
		get_field.sh ${input} PLATFORM
		"""
}

PLATFORMS.into { PLATFORMS1; PLATFORMS2; PLATFORMS3 }

process LoadGenome {
	tag "Load reference genome ${cohort}"
	label "core"

	input:
		tuple val(cohort), path(input) from COHORTS3

	output:
		tuple val(cohort), stdout into GENOMES

	script:
		"""
		get_field.sh ${input} GENOMEREF
		"""
}

CUTOFFS = ['WXS': 1000, 'WGS': 10000]

process ProcessVariants {
	tag "Process variants ${cohort}"
	label "core"
	errorStrategy 'ignore'  // if a cohort does not pass the filters, do not proceed with it
	publishDir "${STEPS_FOLDER}/variants", mode: "copy"

	input:
		tuple val(cohort), path(input), val(platform), val(genome) from COHORTS4.join(PLATFORMS1).join(GENOMES)
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS
		tuple val(cohort), path("${output}.stats.json") into STATS_VARIANTS

	script:
		cutoff = CUTOFFS[platform]
		output = "${cohort}.tsv.gz"
		if (cutoff)
			"""
			parse-variants --input ${input} --output ${output} \
				--genome ${genome.toLowerCase()} \
				--cutoff ${cutoff}
			"""
		else
			error "Invalid cutoff. Check platform: $platform"

}

VARIANTS.into { VARIANTS1; VARIANTS2; VARIANTS3; VARIANTS4; VARIANTS5 }


process FormatSignature {
	tag "Prepare for signatures ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/signature", mode: "copy"

	input:
		tuple val(cohort), path(input) from VARIANTS1
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_SIG

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format signature
		"""

}

REGIONS_PREFIX = ['WXS': 'cds', 'WGS': 'wg']

process ComputeProfile {
	tag "ComputeProfile ${cohort}"
	label "bgsignature"
	publishDir "${STEPS_FOLDER}/signature", mode: "copy"

	input:
		tuple val(cohort), path(input), val(platform) from VARIANTS_SIG.join(PLATFORMS2)
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into SIGNATURES

	script:
		prefix = REGIONS_PREFIX[platform]
		output = "${cohort}.sig.json"
		if (prefix)
			"""
			bgsignature normalize -m ${input} \
				-r ${params.datasets}/regions/${prefix}.regions.gz \
				--normalize ${params.datasets}/signature/${prefix}.counts.gz \
				-s 3 -g hg38 --collapse \
				--cores ${task.cpus} \
				-o ${output}
			"""
		else
			error "Invalid prefix. Check platform: $platform"

}

SIGNATURES.into{ SIGNATURES1; SIGNATURES2; SIGNATURES3; SIGNATURES4; SIGNATURES5 }


process FormatFML {
	tag "Prepare for FML ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/oncodrivefml", mode: "copy"

	input:
		tuple val(cohort), path(input) from VARIANTS2
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_FML

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format fml
		"""

}

process OncodriveFML {
    tag "OncodriveFML ${cohort}"
    publishDir "${STEPS_FOLDER}/oncodrivefml", mode: "copy"

    input:
        tuple val(cohort), path(input), path(signature)  from VARIANTS_FML.join(SIGNATURES1)
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("out/*.tsv.gz") into OUT_ONCODRIVEFML

	script:
		seedOpt = (params.seed == null)? '': "--seed ${params.seed}"
		debugOpt =  (params.debug)? '--debug': ''
		"""
		export LC_ALL=C.UTF-8
    		export LANG=C.UTF-8
		oncodrivefml -i ${input} -e ${params.datasets}/regions/cds.regions.gz --signature ${signature} \
			-c /oncodrivefml/oncodrivefml_v2.conf  --cores ${task.cpus} \
			-o out ${seedOpt} ${debugOpt}
		"""
}


process FormatCLUSTL {
	tag "Prepare for CLUSTL ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/oncodriveclustl", mode: "copy"

	input:
		tuple val(cohort), path(input) from VARIANTS3
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_CLUSTL

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format clustl
		"""

}

process OncodriveCLUSTL {
    tag "OncodriveCLUSTL ${cohort}"
    publishDir "${STEPS_FOLDER}/oncodriveclustl", mode: "copy"
	
    input:
        tuple val(cohort), path(input), path(signature), val(cancer) from VARIANTS_CLUSTL.join(SIGNATURES2).join(CANCERS1)
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("${cohort}.elements_results.txt") into OUT_ONCODRIVECLUSTL
        tuple val(cohort), path("${cohort}.clusters_results.tsv") into OUT_ONCODRIVECLUSTL_CLUSTERS

	script:
		seedOpt = (params.seed == null)? '': "--seed ${params.seed}"
		debugOpt =  (params.debug)? '--log-level debug': ''
		if (['CM', 'SBCC', 'SSCC'].contains(cancer))
			"""
			oncodriveclustl -i ${input} -r ${params.datasets}/regions/cds.regions.gz \
				-g hg38 -sim region_restricted -n 1000 -kmer 5 \
				-sigcalc region_normalized \
				--concatenate \
				-c ${task.cpus} \
				-o ${cohort} ${seedOpt} ${debugOpt}
			
			mv ${cohort}/elements_results.txt ${cohort}.elements_results.txt
			mv ${cohort}/clusters_results.tsv ${cohort}.clusters_results.tsv
			"""
		else
			"""
			oncodriveclustl -i ${input} -r ${params.datasets}/regions/cds.regions.gz \
				-g hg38 -sim region_restricted -n 1000 -kmer 3 \
				-sig ${signature} --concatenate \
				-c ${task.cpus} \
				-o ${cohort} ${seedOpt} ${debugOpt}

			mv ${cohort}/elements_results.txt ${cohort}.elements_results.txt
			mv ${cohort}/clusters_results.tsv ${cohort}.clusters_results.tsv	
			"""
}


process FormatDNDSCV {
	tag "Prepare for DNDSCV ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/dndscv", mode: "copy"

	input:
		tuple val(cohort), path(input) from VARIANTS4
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_DNDSCV

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format dndscv
		"""
}

process dNdScv {
    tag "dNdScv ${cohort}"
    publishDir "${STEPS_FOLDER}/dndscv", mode: "copy"

    input:
        tuple val(cohort), path(input) from VARIANTS_DNDSCV
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("${cohort}.dndscv.tsv.gz") into OUT_DNDSCV
        tuple val(cohort), path("${cohort}.dndscv_annotmuts.tsv.gz") into OUT_DNDSCV_ANNOTMUTS
        tuple val(cohort), path("${cohort}.dndscv_genemuts.tsv.gz") into OUT_DNDSCV_GENEMUTS

	script:
		"""
		Rscript /dndscv/dndscv.R \
			${input} ${cohort}.dndscv.tsv.gz \
			${cohort}.dndscv_annotmuts.tsv.gz \
			${cohort}.dndscv_genemuts.tsv.gz
		"""
}

OUT_DNDSCV.into{ OUT_DNDSCV1; OUT_DNDSCV2 }

process FormatVEP {
	tag "Prepare for VEP ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/vep", mode: "copy"

	input:
		tuple val(cohort), path(input) from VARIANTS5
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_VEP

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output}.tmp \
			--format vep
		sort -k1V -k2n -k3n ${output}.tmp |gzip > ${output}
		"""

}

process VEP {
	tag "VEP ${cohort}"
	publishDir "${STEPS_FOLDER}/vep", mode: "copy"
	
    input:
        tuple val(cohort), path(input) from VARIANTS_VEP
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path(output) into OUT_VEP

	script:
		output = "${cohort}.vep.tsv.gz"
		"""
		vep -i ${input} -o STDOUT --assembly GRCh38 \
			--no_stats --cache --offline --symbol \
			--protein --tab --canonical --mane \
			--dir ${params.datasets}/vep \
			| grep -v ^## | gzip > ${output}
		"""
}


process ProcessVEPoutput {
	tag "Process vep output ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/vep", mode: "copy"

    input:
        tuple val(cohort), path(input) from OUT_VEP

    output:
        tuple val(cohort), path(output) into PARSED_VEP
        tuple val(cohort), path("${output}.stats.json") into STATS_VEP

	script:
		output = "${cohort}.tsv.gz"
		"""
		parse-vep --input ${input} --output ${output}
		"""
}


PARSED_VEP.into { PARSED_VEP1; PARSED_VEP2; PARSED_VEP3; PARSED_VEP4; PARSED_VEP5; PARSED_VEP6; PARSED_VEP7 }

process FilterNonSynonymous {
	tag "Filter non synonymus ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/nonsynonymous", mode: "copy"

    input:
        tuple val(cohort), path(input) from PARSED_VEP1

    output:
        tuple val(cohort), path(output) into PARSED_VEP_NONSYNONYMOUS

	script:
		output = "${cohort}.vep_nonsyn.tsv.gz"
		"""
		parse-nonsynonymous --input ${input} --output ${output}
		"""
}


process FormatSMRegions {
	tag "Prepare for SMRegions ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/smregions", mode: "copy"

	input:
		tuple val(cohort), path(input) from PARSED_VEP_NONSYNONYMOUS
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_SMREGIONS

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format smregions
		"""
}

process SMRegions {
	tag "SMRegions ${cohort}"
	publishDir "${STEPS_FOLDER}/smregions", mode: "copy"

    input:
        tuple val(cohort), path(input), path(signature)  from VARIANTS_SMREGIONS.join(SIGNATURES3)
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path(output) into OUT_SMREGIONS

	script:
		output = "${cohort}.smregions.tsv.gz"
		seedOpt = (params.seed == null)? '': "--seed ${params.seed}"
		debugOpt =  (params.debug)? '--debug': ''
		"""
		smregions -m ${input} -e ${params.datasets}/regions/cds.regions.gz \
			-r ${params.datasets}/smregions/regions_pfam.tsv \
			-s ${signature} --cores ${task.cpus} \
			-c /smregions/smregions.conf \
			-o ${output} ${seedOpt} ${debugOpt}
		"""
}

OUT_SMREGIONS.into { OUT_SMREGIONS1; OUT_SMREGIONS2 }


process FormatCBaSE {
	tag "Prepare for CBaSE ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/cbase", mode: "copy"

	input:
		tuple val(cohort), path(input) from PARSED_VEP2
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_CBASE

	script:
		output = "${cohort}.in.tsv"
		"""
		format-variants --input ${input} --output ${output} \
			--format cbase
		"""
}

process CBaSE {
	tag "CBaSE ${cohort}"
	publishDir "${STEPS_FOLDER}/cbase", mode: "copy"

    input:
        tuple val(cohort), path(input) from VARIANTS_CBASE
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path(output) into OUT_CBASE

	script:
		output = "${cohort}.cbase.tsv.gz"
		"""
		mkdir -p Output/

		python /cbase/cbase.py ${input} ${params.datasets}/cbase 0 output
		tail -n+2 Output/q_values_output.txt | gzip > ${output}
		"""
}

process FormatMutPanning {
	tag "Prepare for MutPanning ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/mutpanning", mode: "copy"

	input:
		tuple val(cohort), path(input) from PARSED_VEP3
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(muts), path(samples) into VARIANTS_MUTPANNING

	script:
		muts = "${cohort}.in_muts.tsv"
		samples = "${cohort}.in_samples.tsv"
		"""
		format-variants --input ${input} --output ${muts} \
			--format mutpanning-mutations
		format-variants --input ${input} --output ${samples} \
			--format mutpanning-samples
		"""
}

process MutPanning {
	tag "MutPanning ${cohort}"
	publishDir "${STEPS_FOLDER}/mutpanning", mode: "copy"

    input:
        tuple val(cohort), path(mutations), path(samples) from VARIANTS_MUTPANNING
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("out/SignificanceFiltered/Significance${cohort}.txt") into OUT_MUTPANNING

	script:
		// TODO remove the creation of the out file or move to the container
		"""
		mkdir -p out/SignificanceFiltered
		echo "Name\tTargetSize\tTargetSizeSyn\tCount\tCountSyn\tSignificance\tFDR\n" \
			> out/SignificanceFiltered/Significance${cohort}.txt
		java -cp /mutpanning/MutPanning.jar MutPanning \
			out ${mutations} ${samples} ${params.datasets}/mutpanning/Hg19/
		"""
}


process FormatHotMAPS {
	tag "Prepare for HotMAPS ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/hotmaps", mode: "copy"

	input:
		tuple val(cohort), path(input) from PARSED_VEP4
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_HOTMAPS

	script:
		output = "${cohort}.in.maf"
		"""
		format-variants --input ${input} --output ${output} \
			--format hotmaps
		"""
}

process HotMAPS {
	tag "HotMAPS ${cohort}"
	publishDir "${STEPS_FOLDER}/hotmaps", mode: "copy"
    input:
        tuple val(cohort), path(input), path(signatures) from VARIANTS_HOTMAPS.join(SIGNATURES4)
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("*.out.gz") into OUT_HOTMAPS
        tuple val(cohort), path("*.clusters.gz") into OUT_HOTMAPS_CLUSTERS

	script:
		"""
		/bin/sh /hotmaps/hotmaps.sh ${input} . ${signatures} \
			${params.datasets}/hotmaps ${task.cpus}
		"""
}


process Combination {
	tag "Combination ${cohort}"
	publishDir "${STEPS_FOLDER}/combination", mode: "copy"

    input:
        tuple val(cohort), path(fml), path(clustl), path(dndscv), path(smregions), path(cbase), path(mutpanning), path(hotmaps) from OUT_ONCODRIVEFML.join(OUT_ONCODRIVECLUSTL).join(OUT_DNDSCV1).join(OUT_SMREGIONS1).join(OUT_CBASE).join(OUT_MUTPANNING).join(OUT_HOTMAPS)
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path("${cohort}.05.out.gz") into OUT_COMBINATION

	script:
		"""
		intogen-combine -o ${cohort} \
			--oncodrivefml ${fml} \
			--oncodriveclustl ${clustl} \
			--dndscv ${dndscv} \
			--smregions ${smregions} \
			--cbase ${cbase} \
			--mutpanning ${mutpanning} \
			--hotmaps ${hotmaps}
		"""

}


process FormatdeconstructSigs {
	tag "Prepare for deconstructSigs ${cohort}"
	label "core"
	publishDir "${STEPS_FOLDER}/deconstructSigs", mode: "copy"

	input:
		tuple val(cohort), path(input) from PARSED_VEP5
		path referenceFiles from REFERENCE_FILES
	output:
		tuple val(cohort), path(output) into VARIANTS_DECONSTRUCTSIGS

	script:
		output = "${cohort}.in.tsv.gz"
		"""
		format-variants --input ${input} --output ${output} \
			--format deconstructsigs
		"""
}

VARIANTS_DECONSTRUCTSIGS.into{ VARIANTS_DECONSTRUCTSIGS1; VARIANTS_DECONSTRUCTSIGS2 }

process deconstructSigs {
	tag "deconstructSigs ${cohort}"
	publishDir "${STEPS_FOLDER}/deconstructSigs", mode: "copy"

    input:
        tuple val(cohort), path(input) from VARIANTS_DECONSTRUCTSIGS1
	path referenceFiles from REFERENCE_FILES
    output:
        tuple val(cohort), path(output) into OUT_DECONSTRUCTSIGS
        tuple val(cohort), path("*.signature_likelihood") into OUT_DECONSTRUCTSIGS_SIGLIKELIHOOD

	script:
		output = "${cohort}.deconstructsigs.tsv.gz"
		likelihood = "${cohort}.signature_likelihood"
		"""
		python3 /deconstructsig/run_deconstruct.py \
			--input-file ${input} --weights ${output} \
			--build hg38
		python3 /deconstructsig/signature_assignment.py \
			--input-file ${output} \
			--output-file ${likelihood}
		"""
}

// TODO add a process to combine all stats

process CohortCounts {
	tag "Count variants ${cohort}"
        label "core"
    input:
        tuple val(cohort), path(input), val(cancer), val(platform) from COHORTS5.join(CANCERS2).join(PLATFORMS3)

    output:
		tuple val(cohort), path("*.counts") into COHORT_COUNTS

	script:
		"""
		variants=`zcat ${input} |tail -n+2 |wc -l`
		samples=`zcat ${input} |tail -n+2 |cut -f1 |uniq |sort -u| wc -l`
		echo "${cohort}\t${cancer}\t${platform}\t\$variants\t\$samples" > ${cohort}.counts
		"""
}

COHORT_COUNTS.into{ COHORT_COUNTS1; COHORT_COUNTS2 }
COHORT_COUNTS_LIST = COHORT_COUNTS1.map{ it -> it[1] }

process CohortSummary {
	tag "Count variants"
	publishDir "${OUTPUT}", mode: "copy"

    input:
        path(input) from COHORT_COUNTS_LIST.collect()
	path referenceFiles from REFERENCE_FILES
    output:
		path(output) into COHORT_SUMMARY

	script:
		output="cohorts.tsv"
		"""
		echo 'COHORT\tCANCER_TYPE\tPLATFORM\tMUTATIONS\tSAMPLES' > ${output}
		cat ${input} >> ${output}
		"""
}


MUTATIONS_INPUTS = PARSED_VEP6.map { it -> it[1] }

process MutationsSummary {
	tag "Mutations"
	publishDir "${OUTPUT}", mode: "copy"
	label "core"

    input:
        path(input) from MUTATIONS_INPUTS.collect()

    output:
		path(output) into MUTATIONS_SUMMARY

	script:
		output="mutations.tsv"
		"""
		mutations-summary --output ${output} \
			${input}
		"""
}


process DriverDiscovery {
	tag "Driver discovery ${cohort}"
	publishDir "${STEPS_FOLDER}/drivers", mode: "copy"
	label "core"

    input:
        tuple val(cohort), path(combination), path(deconstruct_in), path(sig_likelihood), path(smregions), path(clustl_clusters), path(hotmaps_clusters), path(dndscv), val(cancer) from OUT_COMBINATION.join(VARIANTS_DECONSTRUCTSIGS2).join(OUT_DECONSTRUCTSIGS_SIGLIKELIHOOD).join(OUT_SMREGIONS2).join(OUT_ONCODRIVECLUSTL_CLUSTERS).join(OUT_HOTMAPS_CLUSTERS).join(OUT_DNDSCV2).join(CANCERS3)
	path referenceFiles from REFERENCE_FILES
    output:
		path(output_drivers) into DRIVERS
		path(output_vet) into VET

	script:
		output_drivers = "${cohort}.drivers.tsv"
		output_vet = "${cohort}.vet.tsv"
		"""
		drivers-discovery --output_drivers ${output_drivers} \
			--output_vet ${output_vet} \
			--combination ${combination} \
			--mutations ${deconstruct_in} \
			--sig_likelihood ${sig_likelihood} \
			--smregions ${smregions} \
			--clustl_clusters ${clustl_clusters} \
			--hotmaps ${hotmaps_clusters} \
			--dndscv ${dndscv} \
			--ctype ${cancer} \
			--cohort ${cohort}
		"""
}

process DriverSummary {
	tag "Driver summary"
	publishDir "${OUTPUT}", mode: "copy"
	label "core"

    input:
        path (input) from DRIVERS.collect()
        path (input_vet) from VET.collect()
        path (mutations) from MUTATIONS_SUMMARY
        path (cohortsSummary) from COHORT_SUMMARY
	path referenceFiles from REFERENCE_FILES
    output:
		path("drivers.tsv") into DRIVERS_SUMMARY
		path("unique_drivers.tsv") into UNIQUE_DRIVERS
		path("unfiltered_drivers.tsv") into UNFILTER_DRIVERS

	script:
		"""
		drivers-summary \
			--mutations ${mutations} \
			--cohorts ${cohortsSummary} \
			${input} "${input_vet}"
		"""
}


process ParseProfile {
	tag "Parsing profile ${cohort}"
	publishDir "${STEPS_FOLDER}/boostDM/mutrate", mode: "copy"
	label "core"

    input:
        tuple val(cohort), path(signature) from SIGNATURES5

    output:
		tuple val(cohort), path("*.mutrate.json") into OUT_MUTRATE

	script:
		"""
		parse-profile -i ${signature} -o ${cohort}
		"""

}


process DriverSaturation {
	tag "Driver saturation"
	publishDir "${STEPS_FOLDER}/boostDM/saturation", mode: "copy"
	label "core"

    input:
        path (drivers) from DRIVERS_SUMMARY
	path referenceFiles from REFERENCE_FILES
    output:
		path("*.vep.gz") into DRIVERS_SATURATION

	script:
		"""

		drivers-saturation --drivers ${drivers}
		
		"""
}

FILT_MNVS_INPUTS = PARSED_VEP7.map { it -> it[1] }
process FilterMNVS {
	tag "MNVs filter"
	publishDir "${STEPS_FOLDER}/boostDM", mode: "copy"
	label "core"

	input:
		path(input) from FILT_MNVS_INPUTS.collect()

	output:
		path("mnvs.tsv.gz") into MNVS_FILTER
	
	script:
		"""
		
		parse-mnvs ${input}

		"""
}