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hisat2_extract_snps_haplotypes_VCF.py
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hisat2_extract_snps_haplotypes_VCF.py
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#!/usr/bin/env python
#
# Copyright 2016, Daehwan Kim <infphilo@gmail.com>
#
# This file is part of HISAT 2.
#
# HISAT 2 is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# HISAT 2 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with HISAT 2. If not, see <http://www.gnu.org/licenses/>.
#
import sys, os, subprocess
from argparse import ArgumentParser, FileType
digit2str = [str(i) for i in range(10)]
"""
"""
def read_genome(genome_file):
chr_dic = {}
chr_name, sequence = "", ""
for line in genome_file:
if line.startswith(">"):
if chr_name and sequence:
chr_dic[chr_name] = sequence
chr_name = line.strip().split()[0][1:]
sequence = ""
else:
sequence += line.strip()
if chr_name and sequence:
chr_dic[chr_name] = sequence
return chr_dic
"""
Compare two variants [chr, pos, type, data, dic]
"""
def compare_vars(a, b):
a_chr, a_pos, a_type, a_data = a[:4]
b_chr, b_pos, b_type, b_data = b[:4]
assert a_chr == b_chr
if a_pos != b_pos:
return a_pos - b_pos
if a_type != b_type:
if a_type == 'I':
return -1
elif b_type == 'I':
return 1
if a_type == 'S':
return -1
else:
return 1
if a_data < b_data:
return -1
elif a_data > b_data:
return 1
else:
return 0
"""
"""
def compatible_vars(a, b):
a_chr, a_pos, a_type, a_data = a[:4]
b_chr, b_pos, b_type, b_data = b[:4]
assert a_chr == b_chr
assert a_pos <= b_pos
if a_pos == b_pos:
return False
if a_type == 'D':
if b_pos <= a_pos + a_data:
return False
return True
"""
Given a VCF line, the function reports a list of variants [pos, type, data]
type: 'S' for single nucleotide polymorphism, 'D' for deletion, and 'I' for insertion
"""
def extract_vars(chr_dic, chr, pos, ref_allele, alt_alleles, varID):
chr_seq = chr_dic[chr]
vars = []
assert ',' not in ref_allele
alt_alleles = alt_alleles.split(',')
for a in range(len(alt_alleles)):
alt_allele = alt_alleles[a]
if 'N' in alt_allele:
continue
ref_allele2, pos2 = ref_allele, pos
min_len = min(len(ref_allele2), len(alt_allele))
assert min_len >= 1
if min_len > 1:
ref_allele2 = ref_allele2[min_len - 1:]
alt_allele = alt_allele[min_len - 1:]
pos2 += (min_len - 1)
type, data = '', ''
if len(ref_allele2) == 1 and len(alt_allele) == 1:
type = 'S'
data = alt_allele
assert ref_allele2 != alt_allele
if chr_seq[pos2] != ref_allele2:
continue
elif len(ref_allele2) == 1:
assert len(alt_allele) > 1
type = 'I'
data = alt_allele[1:]
if len(data) > 32:
continue
if chr_seq[pos] != ref_allele2:
continue
elif len(alt_allele) == 1:
assert len(ref_allele2) > 1
type = 'D'
data = len(ref_allele2) - 1
if chr_seq[pos2:pos2+data+1] != ref_allele2:
continue
else:
assert False
varID2 = varID
if len(alt_alleles) > 1:
varID2 = "%s.%d" % (varID, a)
vars.append([chr, pos2, type, data, {"id":varID, "id2":varID2}])
return vars
"""
"""
def generate_haplotypes(snp_file,
haplotype_file,
vars,
inter_gap,
intra_gap,
num_genomes,
num_haplotypes):
assert len(vars) > 0
# Sort variants and remove redundant variants
vars = sorted(vars, cmp=compare_vars)
tmp_vars = []
v = 0
while v < len(vars):
var = vars[v]
for v2 in range(v + 1, len(vars)):
var2 = vars[v2]
if compare_vars(var, var2) == 0:
v += 1
if "CLNSIG" not in var[4]:
if "CLNSIG" in var2[4]:
var[4]["CLNSIG"] = var2[4]["CLNSIG"]
if "genotype" not in var[4]:
if "genotype" in var2[4]:
var[4]["genotype"] = var2[4]["genotype"]
else:
assert compare_vars(var, var2) < 0
break
tmp_vars.append(var)
v += 1
vars = tmp_vars
# Write SNPs into a file (.snp)
for var in vars:
chr, pos, type, data, var_dic = var
varID = var_dic["id2"]
if type == 'S':
type = "single"
elif type == 'D':
type = "deletion"
else:
assert type == 'I'
type = "insertion"
print >> snp_file, "%s\t%s\t%s\t%s\t%s" % \
(varID, type, chr, pos, data)
# variant compatibility
vars_cmpt = [-1 for i in range(len(vars))]
for v in range(len(vars)):
var_chr, var_pos, var_type, var_data = vars[v][:4]
if var_type == 'D':
var_pos += (var_data - 1)
for v2 in range(v + 1, len(vars)):
if vars_cmpt[v2] >= 0:
continue
var2_chr, var2_pos, var2_type = vars[v2][:3]
assert var_chr == var2_chr
if var_type == 'D' and var2_type == 'D':
if var_pos + 1 < var2_pos:
break
else:
if var_pos < var2_pos:
break
vars_cmpt[v2] = v
# Assign genotypes for those missing genotypes
genotypes_list = []
if num_genomes > 0:
max_genotype_num = 1
for v in range(len(vars)):
var = vars[v]
var_dic = var[4]
if "genotype" not in var_dic:
used = [True, True] + [False for i in range(8)]
if vars_cmpt[v] >= 0:
v2 = v - 1
while v2 >= vars_cmpt[v]:
var2 = vars[v2]
if not compatible_vars(var2, var):
var2_dic = var2[4]
assert "genotype" in var2_dic
genotype_num = int(var2_dic["genotype"][0])
used[genotype_num] = True
v2 -= 1
assert False in used
for i in range(len(used)):
if not used[i]:
var_dic["genotype"] = ("%d" % i) * (num_genomes * 2)
if i > max_genotype_num:
max_genotype_num = i
break
genotypes_list.append(var_dic["genotype"])
num_chromosomes = len(genotypes_list[0])
# daehwan - for debugging purposes
"""
for v in range(len(vars)):
var = vars[v]
var_chr, var_pos, var_type, var_data, var_dic = var
print v, var_chr, var_pos, var_type, var_data, var_dic["id"], var_dic["id2"],
if "CLNSIG" in var_dic:
print "CLNSIG:", var_dic["CLNSIG"],
if "genotype" in var_dic:
print var_dic["genotype"][:50],
print
"""
# genotypes_list looks like
# Var0: 000001000
# Var1: 010000000
# Var2: 001100000
# Var3: 222222222
# Get haplotypes from genotypes_list
haplotypes = set()
cnv_genotypes = ["" for i in range(num_chromosomes)]
for genotypes in genotypes_list:
for i in range(len(genotypes)):
genotype = genotypes[i]
cnv_genotypes[i] += genotype
cnv_genotypes = set(cnv_genotypes)
for raw_haplotype in cnv_genotypes:
for num in range(1, max_genotype_num + 1):
num_str = str(num)
if num_str not in raw_haplotype:
continue
haplotype = ""
for i in range(len(raw_haplotype)):
if raw_haplotype[i] == num_str:
if haplotype == "":
haplotype = str(i)
else:
haplotype += ("#%d" % i)
assert haplotype != ""
haplotypes.add(haplotype)
else:
for v in range(len(vars)):
var = vars[v]
var_dic = var[4]
used = [False for i in range(100)]
if vars_cmpt[v] >= 0:
v2 = v - 1
while v2 >= vars_cmpt[v]:
var2 = vars[v2]
if not compatible_vars(var2, var):
var2_dic = var2[4]
assert "genotype" in var2_dic
genotype_num = var2_dic["genotype"]
used[genotype_num] = True
v2 -= 1
assert False in used
for i in range(len(used)):
if not used[i]:
var_dic["genotype"] = i
break
genotypes_list.append(var_dic["genotype"])
# genotypes_list looks like
# Var0: 0
# Var1: 0
# Var2: 1
# Var3: 2
# Get haplotypes from genotypes_list
max_genotype_num = max(genotypes_list)
haplotypes = ["" for i in range(max_genotype_num + 1)]
for i in range(len(genotypes_list)):
num = genotypes_list[i]
if haplotypes[num] == "":
haplotypes[num] = str(i)
else:
haplotypes[num] += ("#%d" % i)
haplotypes = set(haplotypes)
# haplotypes look like
# '8#10#12#23', '8#12#23', '5#8#12#23#30'
# Split some haplotypes that include large gaps inside
def split_haplotypes(haplotypes):
split_haplotypes = set()
for haplotype in haplotypes:
haplotype = haplotype.split('#')
assert len(haplotype) > 0
if len(haplotype) == 1:
split_haplotypes.add(haplotype[0])
continue
prev_s, s = 0, 1
while s < len(haplotype):
_, prev_locus, prev_type, prev_data, _ = vars[int(haplotype[s-1])]
_, locus, type, data, _ = vars[int(haplotype[s])]
prev_locus, locus = int(prev_locus), int(locus)
if prev_type == 'D':
prev_locus += (int(prev_data) - 1)
if prev_locus + intra_gap < locus:
split_haplotypes.add('#'.join(haplotype[prev_s:s]))
prev_s = s
s += 1
if s == len(haplotype):
split_haplotypes.add('#'.join(haplotype[prev_s:s]))
return split_haplotypes
haplotypes2 = split_haplotypes(haplotypes)
def cmp_haplotype(a, b):
a = a.split('#')
_, a1_locus, _, _, _ = vars[int(a[0])]
_, a2_locus, a2_type, a2_data, _ = vars[int(a[-1])]
a_begin, a_end = int(a1_locus), int(a2_locus)
if a2_type == 'D':
a_end += (int(a2_data) - 1)
b = b.split('#')
_, b1_locus, _, _, _ = vars[int(b[0])]
_, b2_locus, b2_type, b2_data, _ = vars[int(b[-1])]
b_begin, b_end = int(b1_locus), int(b2_locus)
if b2_type == 'D':
b_end += (int(b2_data) - 1)
if a_begin != b_begin:
return a_begin - b_begin
return a_end - b_end
haplotypes = sorted(list(haplotypes2), cmp=cmp_haplotype)
# daehwan - for debugging purposes
"""
dis = prev_locus - locus
print "\n[%d, %d]: %d haplotypes" % (i, j, len(haplotypes)), dis
if len(cur_vars) in range(0, 1000):
# print "vars:", sorted(list(cur_vars), cmp=cmp_varKey
print "num:", len(haplotypes)
for haplotype in haplotypes:
print haplotype.split('#')
print "\nnum:", len(haplotypes2)
for haplotype in haplotypes2:
print haplotype.split('#')
"""
# Write haplotypes
for h_i in range(len(haplotypes)):
h = haplotypes[h_i].split('#')
chr, h1_locus, _, _, _ = vars[int(h[0])]
_, h2_locus, h2_type, h2_data, _ = vars[int(h[-1])]
h_begin, h_end = int(h1_locus), int(h2_locus)
if h2_type == 'D':
h_end += (int(h2_data) - 1)
assert h_begin <= h_end
h_new_begin = h_begin
for h_j in reversed(range(0, h_i)):
hc = haplotypes[h_j].split('#')
_, hc_begin, hc_type, hc_data, _ = vars[int(hc[-1])]
hc_begin = int(hc_begin)
hc_end = hc_begin
if hc_type == 'D':
hc_end += (int(hc_data) - 1)
if hc_end + inter_gap < h_begin:
break
if h_new_begin > hc_end:
h_new_begin = hc_end
assert h_new_begin <= h_begin
h_add = []
for id in h:
var_dic = vars[int(id)][4]
h_add.append(var_dic["id2"])
print >> haplotype_file, "ht%d\t%s\t%d\t%d\t%s" % \
(num_haplotypes, chr, h_new_begin, h_end, ','.join(h_add))
num_haplotypes += 1
return num_haplotypes
"""
"""
def main(genome_file,
VCF_fnames,
base_fname,
inter_gap,
intra_gap,
only_rs,
reference_type,
genotype_vcf,
genotype_gene_list,
extra_files,
verbose):
# Load genomic sequences
chr_dic = read_genome(genome_file)
# GRCh38 - ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/supporting/GRCh38_positions
# ALL.chr22.phase3_shapeit2_mvncall_integrated_v3plus_nounphased.rsID.genotypes.GRCh38_dbSNP_no_SVs.vcf.gz
# GRCh37 - ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502
# ALL.chr22.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz
# List of variants (e.g. ClinVar database)
genotype_var_list = {}
# List of genomic regions to be processed
genotype_ranges = {}
if genotype_vcf != "":
var_set = set()
assert len(genotype_gene_list) > 0
if genotype_vcf.endswith(".gz"):
vcf_cmd = ["gzip", "-cd", genotype_vcf]
else:
vcf_cmd = ["cat", genotype_vcf]
vcf_proc = subprocess.Popen(vcf_cmd,
stdout=subprocess.PIPE,
stderr=open("/dev/null", 'w'))
for line in vcf_proc.stdout:
if line.startswith("#"):
continue
chr, pos, varID, ref_allele, alt_alleles, qual, filter, info = line.strip().split('\t')
pos = int(pos) - 1
if chr not in chr_dic:
continue
gene = None
for g in genotype_gene_list:
if info.find(g) != -1:
gene = g
break
if not gene:
continue
CLNSIG = -1
for item in info.split(';'):
if not item.startswith("CLNSIG"):
continue
try:
key, value = item.split('=')
CLNSIG = int(value)
except ValueError:
continue
if CLNSIG not in [4, 5]:
continue
if CLNSIG == 4:
CLNSIG = "Likely pathogenic"
else:
CLNSIG = "Pathogenic"
vars = extract_vars(chr_dic, chr, pos, ref_allele, alt_alleles, varID)
if len(vars) == 0:
continue
if chr not in genotype_var_list:
genotype_var_list[chr] = []
genotype_ranges[chr] = {}
if gene not in genotype_ranges[chr]:
genotype_ranges[chr][gene] = [len(chr_dic[chr]), -1]
for var in vars:
var_chr, var_pos, var_ref_allele, var_alt_allele = var[:4]
var_str = "%s-%d-%s-%s" % (var_chr, var_pos, var_ref_allele, var_alt_allele)
if var_str in var_set:
continue
var[4]["CLNSIG"] = CLNSIG
var[4]["gene"] = gene
genotype_var_list[chr].append(var)
if var_pos < genotype_ranges[chr][gene][0]:
genotype_ranges[chr][gene][0] = var_pos
if var_pos > genotype_ranges[chr][gene][1]:
genotype_ranges[chr][gene][1] = var_pos
var_set.add(var_str)
print >> sys.stderr, "Number of variants in %s is:" % (genotype_vcf)
for chr, vars in genotype_var_list.items():
vars = sorted(vars, cmp=compare_vars)
print >> sys.stderr, "\tChromosome %s: %d variants" % (chr, len(vars))
for chr, gene_ranges in genotype_ranges.items():
for gene, value in gene_ranges.items():
gene_ranges[gene] = [value[0] - 100, value[1] + 100]
value = genotype_ranges[chr][gene]
if verbose:
print >> sys.stderr, "%s\t%s\t%d-%d" % (chr, gene, value[0], value[1])
if extra_files or True:
clnsig_file = open("%s.clnsig" % base_fname, 'w')
for chr, vars in genotype_var_list.items():
for var in vars:
varID = var[4]["id2"]
CLNSIG = var[4]["CLNSIG"]
gene = var[4]["gene"]
print >> clnsig_file, "%s\t%s\t%s" % (varID, gene, CLNSIG)
clnsig_file.close()
SNP_file = open("%s.snp" % base_fname, 'w')
haplotype_file = open("%s.haplotype" % base_fname, 'w')
# Write reference information and backbone sequences into files
if extra_files:
ref_file = open("%s.ref" % base_fname, 'w')
for chr, gene_ranges in genotype_ranges.items():
for gene, value in gene_ranges.items():
left, right = value
if reference_type == "gene":
left, right = 0, right - left
print >> ref_file, "%s\t%s\t%d\t%d" % (gene, chr, left, right)
ref_file.close()
if reference_type == "gene":
backbone_file = open("%s_backbone.fa" % base_fname, 'w')
for chr, gene_ranges in genotype_ranges.items():
for gene, value in gene_ranges.items():
left, right = value
left, right = 0, right - left
print >> backbone_file, ">%s" % (gene)
backbone_seq = chr_dic[chr][value[0]:value[1]+1]
for s in range(0, len(backbone_seq), 60):
print >> backbone_file, backbone_seq[s:s+60]
backbone_file.close()
elif reference_type == "chromosome":
first = True
for chr in genotype_ranges.keys():
if first:
os.system("samtools faidx genome.fa %s > %s_backbone.fa" % (chr, base_fname))
first = False
else:
os.system("samtools faidx genome.fa %s >> %s_backbone.fa" % (chr, base_fname))
else:
assert reference_type == "genome"
os.system("cp genome.fa %s_backbone.fa" % base_fname)
num_haplotypes = 0
num_unassigned = 0
for VCF_fname in VCF_fnames:
empty_VCF_file = False
if VCF_fname == "/dev/null" or \
not os.path.exists(VCF_fname):
empty_VCF_file = True
if reference_type != "genome" and \
len(genotype_gene_list) > 0:
continue
if not empty_VCF_file:
if VCF_fname.endswith(".gz"):
vcf_cmd = ["gzip", "-cd", VCF_fname]
else:
vcf_cmd = ["cat", VCF_fname]
vcf_proc = subprocess.Popen(vcf_cmd,
stdout=subprocess.PIPE,
stderr=open("/dev/null", 'w'))
genomeIDs = []
vars, genotypes_list = [], []
prev_varID, prev_chr, prev_pos = "", "", -1
num_lines = 0
for line in vcf_proc.stdout:
num_lines += 1
if line.startswith("##"):
continue
fields = line.strip().split('\t')
chr, pos, varID, ref_allele, alt_alleles, qual, filter, info = fields[:8]
if prev_chr != chr:
curr_right = -1
if len(fields) >= 9:
format = fields[8]
genotypes = []
if len(fields) >= 10:
genotypes = fields[9:]
if line.startswith("#"):
genomeIDs = genotypes
num_genomes = len(genomeIDs)
continue
assert len(genotypes) == len(genomeIDs)
if only_rs and not varID.startswith("rs"):
continue
if ';' in varID:
continue
if varID == prev_varID:
continue
if chr not in chr_dic:
continue
chr_seq = chr_dic[chr]
chr_genotype_vars = []
chr_genotype_ranges = {}
if len(genotype_gene_list) > 0:
assert chr in genotype_var_list
chr_genotype_vars = genotype_var_list[chr]
assert chr in genotype_ranges
chr_genotype_ranges = genotype_ranges[chr]
pos = int(pos) - 1
offset = 0
gene = None
if num_lines % 10000 == 1:
print >> sys.stderr, "\t%s:%d\r" % (chr, pos),
if chr_genotype_ranges:
skip = True
for gene_, range_ in chr_genotype_ranges.items():
if pos > range_[0] and pos < range_[1]:
skip = False
break
if skip:
continue
if len(vars) == 0:
for var in chr_genotype_vars:
var_chr, var_pos, var_type, var_data, var_dic = var
if var_pos < range_[0]:
continue
if var_pos > range_[1]:
break
if reference_type == "gene":
var_pos -= range_[0]
vars.append([gene_, var_pos, var_type, var_data, var_dic])
curr_right = range_[1]
if reference_type == "gene":
offset = range_[0]
gene = gene_
if pos == prev_pos:
continue
if len(vars) > 0 and \
(curr_right + inter_gap < pos or prev_chr != chr):
num_haplotypes = generate_haplotypes(SNP_file,
haplotype_file,
vars,
inter_gap,
intra_gap,
num_genomes,
num_haplotypes)
vars = []
def add_vars(pos,
offset,
gene,
varID,
ref_allele,
alt_alleles,
vars,
genotypes):
tmp_vars = extract_vars(chr_dic, chr, pos, ref_allele, alt_alleles, varID)
max_right = -1
for v in range(len(tmp_vars)):
var = tmp_vars[v]
_, pos2, type, data = var[:4]
cnv_genotypes = []
for genotype in genotypes:
P1, P2 = genotype[0], genotype[2]
if P1 == digit2str[v + 1]:
cnv_genotypes.append('1')
else:
cnv_genotypes.append('0')
if P2 == digit2str[v + 1]:
cnv_genotypes.append('1')
else:
cnv_genotypes.append('0')
# Skip SNPs not present in a given population (e.g. 2,504 genomes in 1000 Genomes Project)
if cnv_genotypes != [] and \
'1' not in cnv_genotypes:
continue
tmp_varID = var[4]["id2"]
var_dic = {"id":varID, "id2":tmp_varID, "genotype":''.join(cnv_genotypes)}
if reference_type == "gene":
vars.append([gene, pos2 - offset, type, data, var_dic])
else:
vars.append([chr, pos2, type, data, var_dic])
right = pos2
if type == 'D':
right += (int(data) - 1)
if max_right < right:
max_right = right
return max_right
right = add_vars(pos,
offset,
gene,
varID,
ref_allele,
alt_alleles,
vars,
genotypes)
if curr_right < right:
curr_right = right
prev_varID = varID
prev_chr = chr
prev_pos = pos
if len(vars) > 0:
num_haplotypes = generate_haplotypes(SNP_file,
haplotype_file,
vars,
inter_gap,
intra_gap,
num_genomes,
num_haplotypes)
vars = []
else:
for chr in genotype_var_list.keys():
chr_seq = chr_dic[chr]
chr_genotype_vars = genotype_var_list[chr]
curr_right = -1
vars = []
for var in chr_genotype_vars:
var_chr, var_pos, var_type, var_data, var_dic = var
num_genomes = 0
if len(vars) > 0 and curr_right + inter_gap < var_pos:
num_haplotypes = generate_haplotypes(SNP_file,
haplotype_file,
vars,
inter_gap,
intra_gap,
num_genomes,
num_haplotypes)
vars = []
vars.append([var_chr, var_pos, var_type, var_data, var_dic])
curr_right = var_pos
if var_type == 'D':
curr_right += (var_data - 1)
if len(vars) > 0:
num_haplotypes = generate_haplotypes(SNP_file,
haplotype_file,
vars,
inter_gap,
intra_gap,
num_genomes,
num_haplotypes)
vars = []
SNP_file.close()
haplotype_file.close()
if genotype_vcf != "":
clnsig_file.close()
if __name__ == '__main__':
parser = ArgumentParser(
description='Extract SNPs and haplotypes from VCF files')
parser.add_argument('genome_file',
nargs='?',
type=FileType('r'),
help='input genome file (e.g. genome.fa)')
parser.add_argument('VCF_fnames',
nargs='?',
type=str,
help='A comma-seperated VCF files (plain text or gzipped file is accepted: GRCh38_dbSNP_no_SVs.vcf or GRCh38_dbSNP_no_SVs.vcf.gz')
parser.add_argument("base_fname",
nargs='?',
type=str,
help="base filename for SNPs and haplotypes")
parser.add_argument("--reference-type",
dest="reference_type",
type=str,
default="genome",
help="Reference type: gene, chromosome, and genome (default: genome)")
parser.add_argument("--inter-gap",
dest="inter_gap",
type=int,
default=30,
help="Maximum distance for variants to be in the same haplotype (default: 30)")
parser.add_argument("--intra-gap",
dest="intra_gap",
type=int,
default=50,
help="Break a haplotype into several haplotypes (default: 50)")
parser.add_argument('--non-rs',
dest='only_rs',
action='store_false',
help='Allow SNP IDs not beginning with rs')
parser.add_argument('--genotype-vcf',
dest='genotype_vcf',
type=str,
default="",
help='VCF file name for genotyping (default: empty)')
parser.add_argument('--genotype-gene-list',
dest='genotype_gene_list',
type=str,
default="",
help='A comma-separated list of genes to be genotyped (default: empty)')
parser.add_argument('--extra-files',
dest='extra_files',
action='store_true',
help='Output extra files such as _backbone.fa and .ref')
parser.add_argument('-v', '--verbose',
dest='verbose',
action='store_true',
help='also print some statistics to stderr')
args = parser.parse_args()
if not args.genome_file or \
not args.VCF_fnames or \
not args.base_fname:
parser.print_help()
exit(1)
args.VCF_fnames = args.VCF_fnames.split(',')
if args.genotype_vcf != "":
if args.genotype_gene_list == "":
genes = set()
if args.genotype_vcf.endswith(".gz"):
vcf_cmd = ["gzip", "-cd", args.genotype_vcf]
else:
vcf_cmd = ["cat", args.genotype_vcf]
vcf_proc = subprocess.Popen(vcf_cmd,
stdout=subprocess.PIPE,
stderr=open("/dev/null", 'w'))
for line in vcf_proc.stdout:
if line.startswith("#"):
continue
info = line.strip().split()[-1]
if info.find("GENEINFO=") == -1:
continue
gene = info.split("GENEINFO=")[1]
gene = gene.split(':')[0]
genes.add(gene)
args.genotype_gene_list = list(genes)
else:
args.genotype_gene_list = args.genotype_gene_list.split(',')
if len(args.genotype_gene_list) == 0:
print >> sys.stderr, "Error: please specify --genotype-gene-list."
sys.exit(1)
else:
args.genotype_gene_list = []
main(args.genome_file,
args.VCF_fnames,
args.base_fname,
args.inter_gap,
args.intra_gap,
args.only_rs,
args.reference_type,
args.genotype_vcf,
args.genotype_gene_list,
args.extra_files,
args.verbose)