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#!/bin/python
# -*- coding: utf-8 -*-
#*****************************************************************************
# VCF_Creator: mapping and VCF creation feature in DiscoSnp++
# Copyright (C) 2015 INRIA
# Author: C.Riou
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program 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 Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#*****************************************************************************
import os
import sys
import subprocess
import re
import time
import getopt
from functionObjectVCF_creator import *
from ClassVCF_creator import *
#Default value
listName=[] #List from the file name used to create the VCF
nbSnp=0 #number of SNP in the input file
nbGeno=0 #number of genotype for every path
filtered_sam=False
filtered_sam_file=""
#Help
def usage():
usage= """
################################
Run VCF_creator
################################
-h --help : print this message
-s --sam_file : <file>.sam of the alignment
-o --output : vcf file
-f --output_filtered_SAM : if provided, a SAM file in which uncorrectly mapped prediction (corresponding to filter '.' in the provided VCF) are removed is output in this file.
"""
print(usage)
###OPTIONS
try:
opts, args = getopt.getopt(sys.argv[1:],"h:s:o:f:",["help","sam_file=","output=","output_filtered_SAM="])
if not opts:
usage()
sys.exit(2)
except getopt.GetoptError as e:
print(e)
usage()
sys.exit(2)
for opt, arg in opts :
if opt in ("-h", "--help"):
usage()
sys.exit(2)
elif opt in ("-s","--sam_file"):
boolmyname=False
fileName=arg
if os.path.isfile(fileName):#checks if the file exists
listNameFile=fileName.split(".")
if "BWA_OPT" in listNameFile[0]: #When the stream_file is created by run_VCF_creator.sh ; it adds BWA_OPT to separate the name of the file and the BWA options
boolmyname=True #Boolean to know if the file name contains the option of BWA
listName=listNameFile[0].split("BWA_OPT") #Parsing of the file name listName[0] corresponds to the name of the discofile ; listName[1] corresponds to the bwa options
listName[1]=listName[1].replace("_", " ")
stream_file=open(fileName,'r')
else :
print(("!! No file :" +str(arg)+"!!"))
sys.exit(2)
elif opt in ("-o","--output"):
if arg!=None:
VCFFile = open(arg,'w')
else :
print("!! No output !!")
sys.exit(2)
elif opt in ("-f","--output_filtered_SAM"):
if arg!=None:
filtered_sam = True
filtered_sam_file = open(arg,'w')
else:
print("!! No filtered sam output !!")
sys.exit(2)
else:
print(("Unkwnown option {} ".format(opt)))
usage()
sys.exit(2)
#Creates the VCF file and prints the header into it
PrintVCFHeader(VCFFile,listName,fileName,boolmyname)
nbGeno=CounterGenotype(fileName)
#---------------------------------------------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------------------------------------------
#Generates the field index (first occurrence of "contig", and so on)
fieldIndex=GetIndex(fileName)
#---------------------------------------------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------------------------------------------
#Start to read the file two lines by two lines
if ".sam" in fileName: #Checks if it's a stream_file
while True:
line1=stream_file.readline()
if not line1: break #End of file
if line1.startswith('@'):
if filtered_sam:
filtered_sam_file.write(line1)
continue #We do not read headers
while True:
listline1=line1.split("\t")
if int(listline1[1]) & 2048 :#checks if it's not a secondary alignment => means splitted aligned sequence
line1=stream_file.readline()
else:break
line2=stream_file.readline() #Read couple of lines
while True:
listline2=line2.split("\t")
if int(listline2[1]) & 2048 :#checks if it's not a secondary alignment => means splitted aligned sequence
line2=stream_file.readline()
else:break
#Initializes variant object with the samline
#if InitVariant(line1,line2)[0]==1:
# continue
variant_object, vcf_field_object=InitVariant(line1,line2,fileName, fieldIndex) #Fills the object with the line of the stream_file
if variant_object.CheckCoupleVariantID()==1: #Checks whether the two lines are from the same path
sys.exit(1)
#Checks the mapping on reference and determines the shift with the reference, which path is the reference ...
table=MappingTreatement(variant_object,vcf_field_object,nbGeno)
#Added by Pierre Peterlongo, Sept 2015. Outputs a new SAM file corresponding to mapped sequences (PASS or MULTIPLE)
if(filtered_sam and vcf_field_object.filterField!="."):
filtered_sam_file.write(line1)
filtered_sam_file.write(line2)
#Fills the VCF file
variant_object.FillVCF(VCFFile,nbGeno,table,vcf_field_object)
elif ".fa" in fileName: #Treatement of the fasta file (no mapping information)
while True:
line1=stream_file.readline()
if not line1: break #End of file
seq1=stream_file.readline() #Reads the seq associate to the SNP
line2=stream_file.readline() #Reads a couple of line
seq2=stream_file.readline()
#Initializes variant object with the samline
variant_object, vcf_field_object=InitVariant(line1,line2,fileName, fieldIndex)
table=UnmappedTreatement(variant_object,vcf_field_object,nbGeno,seq1,seq2)
variant_object.FillVCF(VCFFile,nbGeno,table,vcf_field_object)
VCFFile.close()
stream_file.close()
if filtered_sam:
filtered_sam_file.close()
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