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preprocess a (non GATK/Freebayes) VCF to set the ref, alt and total depth tags so that gemini can use it.
This will standardize input file genotype fields to have AD=REF,ALT1,ALT2 ... (a
la GTK).
For platypus: --depth NR --alt-depth NV
varscan: --ref-depth RD --alt-depth AD
samtools: --ref-depth DP4 (untested)
import argparse
import sys
import gzip
import re
def xopen(f):
if f.endswith(".gz"): return
else: return open(f)
def dp4(sample, dp4_i):
part = sample[dp4_i].split(",")
depths = [int(part[0]) + int(part[1])]
depths.append(int(part[2]) + int(part[3]))
sample.append(",".join(str(d) for d in depths))
def set_depths(sample, ref_i, alt_i, dp_i, add_dp, fmt=None):
if sample[0] in ("./.", "."):
# if ungenotyped, just truncate the sample filed to be "./."
sample[:] = sample[:1]
depths = []
if ref_i:
if alt_i:
dp = sample[dp_i]
if "," in dp:
#assert len(set(dp.split(","))) == 1, (dp, sample)
dp = map(int, dp.split(","))
sample[dp_i] = dp
GT:GL:GOF:GQ:NR:NV 1/0:-1,-1,-1:13:3:80,76:37,1
$ ##FORMAT=<ID=NR,Number=.,Type=Integer,Description="Number of reads covering variant location in this sample">
$ ##FORMAT=<ID=NV,Number=.,Type=Integer,Description="Number of reads containing variant in this sample">
# only had total depth and alt_depth. infer ref depth, a la platypus
if not ref_i:
ref_depth = int(dp) - max(int(x) for x in depths[1].split(","))
assert ref_depth >= 0, (depths, dp)
depths[0] = str(ref_depth)
assert not "," in dp
assert len(depths) > 1, (depths, sample)
# if the caller doesn't use "DP", we add it here.
if add_dp:
def preprocess(vcf, ref_depth, alt_depth, depth="DP"):
n_samples = 0
for line in xopen(vcf):
if line.startswith("#"):
if line.startswith("##FORMAT"):
if "ID=%s," % ref_depth in line or ref_depth is None \
and "ID=%s," % alt_depth in line:
print "##FORMAT=<ID=AD,Number=R,Type=Integer,Description=\"Allele depths\">"
if depth != "DP" and "ID=%s" % depth in line:
print "##FORMAT=<ID=DP,Number=1,Type=Integer,Description=\"read depths\">"
if line.startswith("##FORMAT=<ID=AD,"):
line = line.replace("##FORMAT=<ID=AD,", "##FORMAT=<ID=AD_O,")
print line,
if line.startswith("#CHROM"):
n_samples = len(line.split("\t")) - 9
else: # past VCF header.
toks = line.rstrip().rsplit("\t", n_samples + 1)
toks, fmt, samples = toks[0], toks[1].split(":"), [x.split(":") for x in toks[2:]]
ref_i = fmt.index(ref_depth) if ref_depth is not None else None
alt_i = fmt.index(alt_depth) if alt_depth is not None else None
dp_i = fmt.index(depth)
if "AD" in fmt:
fmt = [x if x != "AD" else "AD_O" for x in fmt]
if "DP4" == ref_depth:
[dp4(s, ref_i) for s in samples]
[set_depths(s, ref_i, alt_i, dp_i, depth != "DP") for s in samples]
if depth != "DP": fmt.append("DP")
assert len(samples[0]) == len(fmt) or samples[0][0] == "."
print "\t".join([toks, ":".join(fmt), "\t".join(":".join(s) for s in samples)])
def main(args):
p = argparse.ArgumentParser(__doc__)
p.add_argument("--ref-depth", help="field containing ref-depths")
p.add_argument("--alt-depth", help="field containing alt-depths (if this is "
" empty, ref-depth is assumed to contain all depths with ref first)")
p.add_argument("--depth", help="field containing total depths", default="DP")
p.add_argument("vcf", help="vcf to normalize")
a = p.parse_args(args)
preprocess(a.vcf, a.ref_depth, a.alt_depth, a.depth)
if __name__ == "__main__":
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