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pair_fetch_DNA_ff.py
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pair_fetch_DNA_ff.py
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#!/usr/bin/env python
# pair_fetch_DNA_ff.py
# Function: filter microsat and flanking region by quality score;
# remove read with any base that has lower quality score than "quality_require" within "flanking_base" and convert from snoope to fastq
# Note that require flanking length need to be screen by Bob snoope script first
# Author: Arkarachai Fungtammasan
# Version 1.0.0 (15 July 2012)
# Input format: length_of_repeat[0] left_flank_length[1] right_flank_length[2] repeat_motif[3] hamming_distance[4] read_name[5] read_sequence[6] read_quality[7]
# Output format: two fastq file. First file contain left flank. Second file contain right flank.
# Command: python pair_fetch_DNA_ff.py input.txt
import sys
def stop_err(msg):
sys.stderr.write(msg)
sys.exit()
# read file name
filename=sys.argv[1]
L_filename=sys.argv[2]
R_filename=sys.argv[3]
quality_require=sys.argv[4]
flanking_base=sys.argv[5]
try:
quality_require=int(quality_require)
flanking_base=int(flanking_base)
except Exception, eee:
print eee
stop_err("Quality score cutoff and Length of flanking regions that require quality screening must be integer")
fd=open(filename)
fdd1=open(L_filename,'w')
fdd2=open(R_filename,'w')
lines=fd.xreadlines()
for line in lines:
temp=line.strip().split('\t')
temp=filter(None,temp)
#get index
left_flank=(0,int(temp[1]))
microsat=(int(temp[1]),int(temp[1])+int(temp[0]))
right_flank=(int(temp[1])+int(temp[0]),int(temp[1])+int(temp[0])+int(temp[2]))
flag=0
#filter length of left and right flank
if (right_flank[1]-right_flank[0])<flanking_base:
continue
if (left_flank[1]-left_flank[0])<flanking_base:
continue
#filter quality score
for i in temp[7][microsat[0]-flanking_base:microsat[1]+flanking_base]:
if ord(i)<(quality_require+33):
flag=1
else:
flag=flag
#print out to seperated files
if flag ==0:
newname= temp[5]##+'_'+temp[3]+'_'+temp[0]
fdd1.writelines('@'+newname+'\n')
fdd2.writelines('@'+newname+'\n')
fdd1.writelines(temp[6][left_flank[0]:left_flank[1]]+'\n')
fdd2.writelines(temp[6][right_flank[0]:right_flank[1]]+'\n')
fdd1.writelines('+'+newname+'\n')
fdd2.writelines('+'+newname+'\n')
fdd1.writelines(temp[7][left_flank[0]:left_flank[1]]+'\n')
fdd2.writelines(temp[7][right_flank[0]:right_flank[1]]+'\n')
fd.close()
fdd1.close()
fdd2.close()