geinf/vcf_to_sfs.py

#!/usr/bin/env python3

"""
FOREST Thomas (thomas.forest@college-de-france.fr)

Caution : At the moment for gzipped files only.

ARGS
--------

standalone usage : vcf_to_sfs.py VCF.gz nb_indiv

"""

import gzip
import sys

def sfs_from_vcf(n, vcf_file, folded = True, diploid = True, phased = False, verbose = False):

    """
    Multiplication de deux nombres entiers.
    Cette fonction ne sert pas à grand chose.

    Parameters
    ----------
    n : int
        Nb of individuals in sample.
    vcf_file : str
        SNPs in VCF file format.

        Used to generate a Site Frequency Spectrum (SFS) from a VCF.

    Returns
    -------
    dict
        Site Frequency Spectrum (SFS)


    """
    
    if diploid and not folded:
        n *= 2
    # initiate SFS_values with a zeros dict
    SFS_values = dict.fromkeys(range(n),0)

    with gzip.open(vcf_file, "rb") as inputgz:
        line = inputgz.readline()
        genotypes = []
        print("Parsing VCF", vcf_file, "... Please wait...")
        while line:
            # decode gzipped binary lines
            line = line.decode('utf-8').strip()
            # every snp line, not comment or header
            if not line.startswith("##") and not line.startswith("#"):
                FIELDS = line.split("\t")
                # REF is col 4 of VCF
                REF = FIELDS[3].split(",")
                # ALT is col 5 of VCF
                ALT = FIELDS[4].split(",")            
                FORMAT = line.split("\t")[8:9]
                SAMPLES = line.split("\t")[9:]
                snp_genotypes = []
                allele_counts = {}
                allele_counts_list = []
                # SKIP the SNP if :
                # 1 : missing
                # 2 : deletion among REF
                # 3 : deletion among ALT
                if "./.:." in line \
                   or len(ALT[0]) > 1 \
                   or len(REF[0]) > 1:
                    line = inputgz.readline()
                    continue
                for sample in SAMPLES:
                    if not phased:
                        # for UNPHASED data
                        smpl_genotype = [int(a) for a in sample.split(':')[0].split('/') if a != '.']
                    else:
                        # for PHASED
                        smpl_genotype = [int(a) for a in sample.split(':')[0].split('|') if a != '.']
                    nb_alleles = set(smpl_genotype)
                    snp_genotypes += smpl_genotype
                # skip if all individuals have the same genotype
                if len(set(snp_genotypes)) == 1:
                    line = inputgz.readline()
                    continue
                for k in set(snp_genotypes):
                    allele_counts[snp_genotypes.count(k)] = k
                    allele_counts_list.append(snp_genotypes.count(k))
                if folded and len(ALT) >= 2:
                    pass
                    # TODO - work in progress
                    # for al in range(len(ALT)-1):
                    #     SFS_values[min(allele_counts_list)-1] += 1/len(ALT)
                    #     allele_counts_list.remove(min(allele_counts_list))
                else:
                    SFS_values[min(allele_counts_list)-1] += 1
            line = inputgz.readline()
            if verbose:
                print(SFS_values)
    return SFS_values

if __name__ == "__main__":
            
    if len(sys.argv) != 3:
        print("Need 2 args")
        exit(0)

    # PARAM : Nb of indiv
    n = int(sys.argv[2])

    sfs = sfs_from_vcf(n, sys.argv[1], folded = True, diploid = True, phased = False)
    print(sfs)