add fileinfo to readme

README.md

@@ -18,8 +18,8 @@ cat <vcf_file> | bcftools view -c 1 -Ou | bcftools +fill-tags -Ou -- -S configs/
 
 In case vcf file is (b)gzipped use samtools tabix.
 
-3. Then use main script.
-Currently supported modes: bayes, fb.
+### Script usage:
+Currently supported modes: bayes, fb, softmax.
 Note: fb is around 20 times slower.
 
 ```bash
@@ -41,4 +41,17 @@ for vcf file with around 120k SNPs.
 |--|--|--|  
 |fb   | 20 | ? |  
 |bayes| 1  | ? |
-|softmax| 0.5 | ? |
+|softmax| 0.5 | ? |
+
+
+
+### Files explanation
+As a result of the pipeline we get 3 files:
+1. `<group>_<mode>_<window-len>_predictions.csv`   
+Csv file with a list of most probable population in each window.
+
+2. `<group>_<mode>_<window-len>_snp_prob.tsv`   
+Tsv (tab-separated) file with a list of all SNPs and probabilities that it came from each population.
+
+3. `<group>_<mode>_<window-len>_stats.csv`  
+Csv file with statistics that shows the fraction of windows assigned to each population.

src/process_individuals.py

@@ -168,7 +168,7 @@ def main(file, win_len, mode, n_threads=4):
     base_path = Path(file).parent
 
     input_file = str(file_path)
-    snp_prob_file = f'{base_path}/{group}_{mode}_{win_len}_snp_prob.txt'
+    snp_prob_file = f'{base_path}/{group}_{mode}_{win_len}_snp_prob.tsv'
     prediction_file = f'{base_path}/{group}_{mode}_{win_len}_predictions.csv'
     stats_file = f'{base_path}/{group}_{mode}_{win_len}_stats.csv'