Gitlab is now using as it's primary address. Please update your bookmarks. FAQ.

Commit c03622b3 authored by Laura Denies's avatar Laura Denies
Browse files

Upload New File

parent c3e69fdb
#!/usr/bin/env python
import argparse
import re
from collections import Counter
import numpy
import itertools
def readFasta(file):
with open(file) as f:
records =
if'>', records) == None:
print('The input file seems not in fasta format.')
records = records.split('>')[1:]
myFasta = []
for fasta in records:
array = fasta.split('\n')
name, sequence = array[0].split()[0], re.sub('[^ARNDCQEGHILKMFPSTWYV-]', '-', ''.join(array[1:]).upper())
myFasta.append([name, sequence])
return myFasta
def AAC(fastas):
encodings = []
for i in AA:
for i in fastas:
name, sequence = i[0], re.sub('-', '', i[1])
count = Counter(sequence)
for key in count:
count[key] = count[key]/len(sequence)
code = [name]
for aa in AA:
return encodings
def DPC(fastas):
encodings = []
diPeptides = [aa1 + aa2 for aa1 in AA for aa2 in AA]
header = ['#'] + diPeptides
AADict = {}
for i in range(len(AA)):
AADict[AA[i]] = i
for i in fastas:
name, sequence = i[0], re.sub('-', '', i[1])
code = [name]
tmpCode = [0] * 400
for j in range(len(sequence) - 2 + 1):
tmpCode[AADict[sequence[j]] * 20 + AADict[sequence[j+1]]] = tmpCode[AADict[sequence[j]] * 20 + AADict[sequence[j+1]]] +1
if sum(tmpCode) != 0:
tmpCode = [i/sum(tmpCode) for i in tmpCode]
code = code + tmpCode
return encodings
def savetsv(encodings, file = 'encoding.tsv'):
with open(file, 'w') as f:
if encodings == 0:
f.write('Descriptor calculation failed.')
for i in range(len(encodings[0]) -1):
f.write(encodings[0][i] + '\t')
f.write(encodings[0][-1] + '\n')
for i in encodings[1:]:
f.write(i[0] + '\t')
for j in range(1, len(i) - 1):
f.write(str(float(i[j])) + '\t')
f.write(str(float(i[len(i)-1])) + '\n')
return None
import collections
def merge(lst1, lst2):
return [(sub + [lst2[i][-1]]) for i, sub in enumerate(lst1)]
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Process fasta input with random forest virulence prediction model')
parser.add_argument("--file", required=True, help="input fasta file")
parser.add_argument("--out", dest='outFile',
help="the generated descriptor file")
args = parser.parse_args()
fastas = readFasta(args.file)
encodings = AAC(fastas)
outFile = args.outFile if args.outFile != None else 'encoding.tsv'
savetsv(encodings, outFile)
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment