Mercurial > repos > iuc > medaka_consensus
view convert_VCF_info_fields.py @ 9:eb1f4ba66dc6 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/medaka commit e0684fe95538cf97b1199ad1072d3da6d1619443"
author | iuc |
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date | Tue, 23 Feb 2021 20:14:28 +0000 |
parents | 6ca28e6144fa |
children | 0413e62b757a |
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#!/usr/bin/env python3 # Takes in VCF file annotated with medaka tools annotate and converts # # Usage statement: # python convert_VCF_info_fields.py in_vcf.vcf out_vcf.vcf # 10/21/2020 - Nathan P. Roach, natproach@gmail.com import sys from collections import OrderedDict from math import log10 from scipy.stats import fisher_exact def pval_to_phredqual(pval): try: ret = round(-10 * log10(pval)) except ValueError: ret = 2147483647 # transform pval of 0.0 to max signed 32 bit int return ret def parseInfoField(info): info_fields = info.split(';') info_dict = OrderedDict() for info_field in info_fields: code, val = info_field.split('=') info_dict[code] = val return info_dict def annotateVCF(in_vcf_filepath, out_vcf_filepath): in_vcf = open(in_vcf_filepath, 'r') out_vcf = open(out_vcf_filepath, 'w') to_skip = set(['SC', 'SR']) for i, line in enumerate(in_vcf): if i == 1: out_vcf.write("##convert_VCF_info_fields=0.2\n") if line[0:2] == "##": if line[0:11] == "##INFO=<ID=": id_ = line[11:].split(',')[0] if id_ in to_skip: continue out_vcf.write(line) elif line[0] == "#": out_vcf.write('##INFO=<ID=DPSPS,Number=2,Type=Integer,Description="Spanning Reads Allele Frequency By Strand">\n') out_vcf.write('##INFO=<ID=AF,Number=1,Type=Float,Description="Spanning Reads Allele Frequency">\n') out_vcf.write('##INFO=<ID=FAF,Number=1,Type=Float,Description="Forward Spanning Reads Allele Frequency">\n') out_vcf.write('##INFO=<ID=RAF,Number=1,Type=Float,Description="Reverse Spanning Reads Allele Frequency">\n') out_vcf.write('##INFO=<ID=SB,Number=1,Type=Integer,Description="Phred-scaled strand bias of spanning reads at this position">\n') out_vcf.write('##INFO=<ID=DP4,Number=4,Type=Integer,Description="Counts for ref-forward bases, ref-reverse, alt-forward and alt-reverse bases in spanning reads">\n') out_vcf.write('##INFO=<ID=AS,Number=4,Type=Integer,Description="Total alignment score to ref and alt allele of spanning reads by strand (ref fwd, ref rev, alt fwd, alt rev) aligned with parasail match 5, mismatch -4, open 5, extend 3">\n') out_vcf.write(line) else: fields = line.split('\t') info_dict = parseInfoField(fields[7]) sr_list = [int(x) for x in info_dict["SR"].split(',')] sc_list = [int(x) for x in info_dict["SC"].split(',')] if len(sr_list) == len(sc_list): variant_list = fields[4].split(',') dpsp = int(info_dict["DPSP"]) ref_fwd, ref_rev = 0, 1 dpspf, dpspr = (int(x) for x in info_dict["AR"].split(',')) for i in range(0, len(sr_list), 2): dpspf += sr_list[i] dpspr += sr_list[i + 1] for j, i in enumerate(range(2, len(sr_list), 2)): dp4 = (sr_list[ref_fwd], sr_list[ref_rev], sr_list[i], sr_list[i + 1]) dp2x2 = [[dp4[0], dp4[1]], [dp4[2], dp4[3]]] _, p_val = fisher_exact(dp2x2) sb = pval_to_phredqual(p_val) as_ = (sc_list[ref_fwd], sc_list[ref_rev], sc_list[i], sc_list[i + 1]) info = [] for code in info_dict: if code in to_skip: continue val = info_dict[code] info.append("%s=%s" % (code, val)) info.append("DPSPS=%d,%d" % (dpspf, dpspr)) if dpsp == 0: info.append("AF=NaN") else: af = (dp4[2] + dp4[3]) / dpsp info.append("AF=%.6f" % (af)) if dpspf == 0: info.append("FAF=NaN") else: faf = dp4[2] / dpspf info.append("FAF=%.6f" % (faf)) if dpspr == 0: info.append("RAF=NaN") else: raf = dp4[3] / dpspr info.append("RAF=%.6f" % (raf)) info.append("SB=%d" % (sb)) info.append("DP4=%d,%d,%d,%d" % (dp4)) info.append("AS=%d,%d,%d,%d" % (as_)) new_info = ';'.join(info) fields[4] = variant_list[j] fields[7] = new_info out_vcf.write("%s" % ("\t".join(fields))) else: print("WARNING - SR and SC are different lengths, skipping variant") print(line.strip()) # Print the line for debugging purposes in_vcf.close() out_vcf.close() if __name__ == "__main__": annotateVCF(sys.argv[1], sys.argv[2])