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fasta_count_kmers.py
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fasta_count_kmers.py
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#!/usr/bin/env python
"""Return frequency of kmers present in a fasta file
Usage:
python fasta_count_kmer.py genome_file kmer_length
"""
# Importing modules
from signal import signal, SIGPIPE, SIG_DFL
from collections import defaultdict
import sys
# Defining classes
class Fasta(object):
"""Fasta object with name and sequence
"""
def __init__(self, name, sequence):
self.name = name
self.sequence = sequence
def write_to_file(self, handle):
handle.write(">" + self.name + "\n")
handle.write(self.sequence + "\n")
# Defining functions
def fasta_iterator(input_file):
"""Takes a fasta file input_file and returns a fasta iterator
"""
with open(input_file) as f:
sequence = ""
name = ""
begun = False
for line in f:
line = line.strip()
if line.startswith(">"):
if begun:
yield Fasta(name, sequence)
name = line.replace(">", "")
sequence = ""
begun = True
else:
sequence += line
if name != "":
yield Fasta(name, sequence)
if __name__ == '__main__':
# Prevent broken pipe error
signal(SIGPIPE, SIG_DFL)
# Parse user input
try:
input_file = sys.argv[1]
kmer_length = int(sys.argv[2])
except:
print(__doc__)
sys.exit(1)
# Cound kmers
kmer_dict = defaultdict(int)
for seq in fasta_iterator(input_file):
for start in range(0, len(seq.sequence) - kmer_length):
stop = start + kmer_length
kmer_dict[seq.sequence[start: stop]] += 1
kmer_list = sorted([(kmer_dict[k], k) for k in kmer_dict], reverse=True)
# Print results
for kmer in kmer_list:
print(kmer[1], kmer[0])