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mbp.py
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#!/usr/bin/env python
import argparse
import numpy as np
import sys
parser = argparse.ArgumentParser(description='Computes fwd-fwd and fwd-rev MBP scores for a list of FASTA files')
parser.add_argument('-f', metavar='', required=True, help='List of single line FASTA files')
parser.add_argument('-mb', action='store_true',
help='Use this flag if the sequences are composed of only codon middle bases')
parser.add_argument('-sequence', action='store_true',
help='Use this flag if individual sequence level MBP scores should be outputted')
args = parser.parse_args()
def read_fasta(filename):
with open(filename, 'r') as fopen:
seq_name = []
sequence = []
for line in fopen:
if line.startswith('>'):
seq_name.append(line.rstrip()[1:])
else:
sequence.append(line.rstrip().lower())
return seq_name, sequence
def mbpf(seq_1, seq_2, comp):
count = 0
dashes = 0
for _, nuc in enumerate(seq_1):
if nuc == '-' or seq_2[_] == '-':
dashes += 1
elif comp[nuc] == seq_2[_]:
count += 1
return float(count) / float(len(seq_1) - dashes)
def length_check(fasta, fasta_file_name, fasta_names):
length_fasta = [len(fasta[_]) for _ in range(len(fasta))]
median_length = np.median(length_fasta)
boolean_array = [0 if len(fasta[_]) == median_length else 1 for _ in range(len(fasta))]
if np.sum(boolean_array) == 0:
return 1, median_length
else:
sys.stdout.write('\nThese sequences in %s don\'t have the same length as other sequences: %s\n\n' % (
fasta_file_name, [fasta_names[_] for _ in range(len(boolean_array)) if boolean_array[_] == 1]))
sys.exit(1)
if __name__ == '__main__':
with open(args.f, 'r') as fopen:
file_list = [line.rstrip() for line in fopen]
base_comp = {'a': 't', 't': 'a', 'g': 'c', 'c': 'g'}
fout_all = open('mbp_out.csv', 'w')
fout_all.write('Fasta 1,Fasta 2,<MBP> fwd-fwd,SD fwd-fwd,<MBP> fwd-rev,SD fwd-rev\n')
fasta_checked = [0 for _ in range(len(file_list))]
median_array = [0 for _ in range(len(file_list))]
for i in range(len(file_list)):
fasta_i_name = file_list[i]
fasta_org_name_i, fasta_i = read_fasta(fasta_i_name)
if not args.mb:
mb_fasta_i = [fasta_i[_][1::3] for _ in range(len(fasta_i))]
else:
mb_fasta_i = fasta_i
if fasta_checked[i] == 0:
fasta_checked[i], median_array[i] = length_check(mb_fasta_i, fasta_i_name, fasta_org_name_i)
for j in range(i, len(file_list)):
same_fasta = False
if i == j:
fasta_j_name = fasta_i_name
fasta_j = fasta_i
fasta_org_name_j = fasta_org_name_i
mb_fasta_j = mb_fasta_i
same_fasta = True
else:
fasta_j_name = file_list[j]
fasta_org_name_j, fasta_j = read_fasta(fasta_j_name)
if not args.mb:
mb_fasta_j = [fasta_j[_][1::3] for _ in range(len(fasta_j))]
else:
mb_fasta_j = fasta_j
if fasta_checked[j] == 0:
fasta_checked[j], median_array[j] = length_check(mb_fasta_j, fasta_j_name, fasta_org_name_j)
if median_array[i] != median_array[j]:
sys.stdout.write(
'\nThe length of sequences in %s and %s are unequal\n\n' % (fasta_i_name, fasta_j_name))
sys.exit(1)
name = []
fwd = []
rev = []
for x in range(len(mb_fasta_i)):
if same_fasta:
for y in range(x, len(mb_fasta_j)):
name.append([str(fasta_org_name_i[x]), str(fasta_org_name_j[y])])
fwd.append(mbpf(mb_fasta_i[x], mb_fasta_j[y], base_comp))
rev.append(mbpf(mb_fasta_i[x], mb_fasta_j[y][::-1], base_comp))
else:
for y in range(len(mb_fasta_j)):
name.append([str(fasta_org_name_i[x]), str(fasta_org_name_j[y])])
fwd.append(mbpf(mb_fasta_i[x], mb_fasta_j[y], base_comp))
rev.append(mbpf(mb_fasta_i[x], mb_fasta_j[y][::-1], base_comp))
if args.sequence:
fout_name = fasta_i_name.split('.')[0] + '-' + fasta_j_name.split('.')[0] + '.csv'
fout = open(fout_name, 'w')
fout.write('Seq 1,Seq 2,MBP fwd-fwd,MBP fwd-rev\n')
for _ in range(len(name)):
fout.write('%s,%s,%f,%f\n' % (name[_][0], name[_][1], fwd[_], rev[_]))
fout.close()
mean_fwd = np.mean(fwd)
std_fwd = np.std(fwd)
mean_rev = np.mean(rev)
std_rev = np.std(rev)
fout_all.write(
'%s,%s,%f,%f,%f,%f\n' % (
fasta_i_name.split('.')[0], fasta_j_name.split('.')[0], mean_fwd, std_fwd, mean_rev, std_rev))
fout_all.close()