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121c_SlidingWindow.py
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121c_SlidingWindow.py
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#-----------------------------------------------------------+
# |
# 121_SlidingWindow.py - plot data with sliding window on multiple chromosome |
# |
#-----------------------------------------------------------+
# |
# AUTHOR: Vikas Gupta |
# CONTACT: [email protected] |
# STARTED: 09/06/2013 |
# UPDATED: 09/06/2013 |
# |
# DESCRIPTION: |
# Short script to convert and copy the wheat BACs |
# Run this in the parent dir that the HEX* dirs exist |
# |
# LICENSE: |
# GNU General Public License, Version 3 |
# http://www.gnu.org/licenses/gpl.html |
# |
#-----------------------------------------------------------+
# Example:
# python ~/script/python/100b_fasta2flat.py -i 02_Stegodyphous_cdna.refined.fa.orf.tr_longest_frame
### import modules
import os,sys,getopt, re
### global variables
global ifile, window_size, step_size, window_count, step_count, callable_file
### make a logfile
import datetime
now = datetime.datetime.now()
o = open(str(now.strftime("%Y-%m-%d_%H%M."))+'logfile','w')
### write logfile
def logfile(infile):
o.write("Program used: \t\t%s" % "100b_fasta2flat.py"+'\n')
o.write("Program was run at: \t%s" % str(now.strftime("%Y-%m-%d_%H%M"))+'\n')
o.write("Infile used: \t\t%s" % infile+'\n')
def help():
print '''
python 100b_fasta2flat.py -i <ifile>
-j <callable_file>
-w <window_size_pos> ### Position based
-c <window_size_count> ### count based
File must follow the format:
<chromosome> <Position> <DataPoints>
'''
sys.exit(2)
### main argument to
def options(argv):
global ifile, window_size, step_size, window_count, step_count, callable_file
ifile = ''
callable_file = ''
window_size = 1000
step_size = 100
window_count = 1000
step_count = 100
try:
opts, args = getopt.getopt(argv,"hi:j:w:c:s:d:",["ifile=","callable_file=","window_size_pos=","step_size_pos=","window_size_count=","step_size_count=" ])
except getopt.GetoptError:
help()
for opt, arg in opts:
if opt == '-h':
help()
elif opt in ("-i", "--ifile"):
ifile = arg
elif opt in ("-j", "--callable_file"):
callable_file = arg
elif opt in ("-w", "--window_size_pos"):
window_size = int(arg)
elif opt in ("-c", "--window_size_count"):
window_count = float(arg)
elif opt in ("-s", "--step_size_pos"):
step_size = int(arg)
elif opt in ("-d", "--window_size_count"):
step_count = float(arg)
logfile(ifile)
def get_size(file):
count = 0
chroHash = {}
for line in open(file,'r'):
count += 1
### print the lines processed
if count%100000 == 0:
print 'Lines processed: ', '{:9,.0f}'.format(count)
line = line.strip()
if len(line)>1 and not line.startswith('#'):
token = line.split('\t')
if token[0] not in chroHash:
chroHash[token[0]] = ''
return chroHash
def parse_call(chromosome,callable_file):
hash = {}
for line in open(callable_file,'r'):
if len(line)>1 and not line.startswith('#'):
count += 1
### print the lines processed
if count%100000 == 0:
print 'Lines processed in callable fraction file: ', chromosome, '{:9,.0f}'.format(count)
line = line.strip()
tokens = line.split('\t')
if tokens[0]==chromosome:
pos = int(tokens[1])
hash[pos] = ''
return hash
def parse(chromosome, o):
count = 0
data_hash = {}
for line in open(ifile, 'r'):
if len(line)>1 and not line.startswith('#'):
count += 1
### print the lines processed
if count%100000 == 0:
print 'Lines processed in the variant file: ', chromosome, '{:9,.0f}'.format(count)
line = line.strip()
tokens = line.split('\t')
if tokens[0]==chromosome:
pos = int(tokens[1])
data_hash[pos] = float(tokens[2]), float(tokens[3]), float(tokens[4]), float(tokens[5]), float(tokens[6]), float(tokens[7]) ,\
float(tokens[8]), float(tokens[9])
return data_hash
def window(chromosome, o, data_hash, call_hash):
### run the window position based analysis
if len(data_hash)>0:
start = min(data_hash)
end = max(data_hash)
for i in range(start, end+1, step_size):
print 'Lines processed printing out: ', chromosome, '{:9,.0f}'.format(i)
call_sum = 0
snp_sum = 0
depth_sum = 0
genotypeCalls_sum = 0
genotypeCallsHete_sum = 0
genotypeCallsHomo_sum = 0
InbreedingCoeffs_sum = 0
HaplotypeScores_sum = 0
temp_count = 0
for j in range(i, i+window_size):
if j in call_hash:
temp_count += 1
if j in data_hash:
call, snp, depth, genotypeCalls, genotypeCallsHete, genotypeCallsHomo, InbreedingCoeffs, HaplotypeScores = data_hash[j]
snp_sum += snp
depth_sum += depth
genotypeCalls_sum += genotypeCalls
genotypeCallsHete_sum += genotypeCallsHete
genotypeCallsHomo_sum += genotypeCallsHomo
InbreedingCoeffs_sum += InbreedingCoeffs
HaplotypeScores_sum += HaplotypeScores
temp_count += 1
if temp_count > 0:
o.write(chromosome+'\t'+ \
str(i+window_size/2) + '\t' + \
str(temp_count/float(temp_count))+ '\t' + \
str(snp_sum/float(temp_count))+ '\t' + \
str(depth_sum/float(temp_count))+ '\t'+ \
str(genotypeCalls_sum/float(temp_count))+ '\t' + \
str(genotypeCallsHete_sum/float(temp_count))+ '\t'+ \
str(genotypeCallsHomo_sum/float(temp_count))+ '\t'+ \
str(InbreedingCoeffs_sum/float(temp_count))+ '\t'+ \
str(HaplotypeScores_sum/float(temp_count))+ '\n')
if __name__ == "__main__":
options(sys.argv[1:])
HEADER = '#Chromosome\tPosition\tCallable\tSNP\tDepth\tgenotypeCalls\tgenotypeCallsHete\tgenotypeCallsHomo\tInbreedingCoeffs\tHaplotypeScores'
print 'Hashing the chromosomes name'
chroHash = get_size(ifile)
o = open(ifile+'.w'+str(window_size)+'.s'+str(step_size), 'w')
o.write(HEADER+'\n')
for chromosome in sorted(chroHash):
### hash the callable fraction
call_hash = parse_call(chromosome,callable_file)
### parse file
data_hash = parse(chromosome, o)
window(chromosome, o, data_hash, call_hash)
### close the logfile
o.close()