Mercurial > repos > iuc > medaka_consensus
changeset 7:fbf007713188 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/medaka commit 9b7d28ac59ad082874670ee989836631ba8d7fb4"
author | iuc |
---|---|
date | Wed, 10 Feb 2021 08:28:25 +0000 |
parents | 22f6a0e7424f |
children | 6ca28e6144fa |
files | convert_VCF_info_fields.py |
diffstat | 1 files changed, 112 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/convert_VCF_info_fields.py Wed Feb 10 08:28:25 2021 +0000 @@ -0,0 +1,112 @@ +#!/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): + return round(-10 * log10(pval)) + + +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=0.1\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])