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#!/usr/bin/env python | ||
# -*- coding: utf-8 -*- | ||
""" | ||
""" | ||
from Bio import AlignIO | ||
import argparse | ||
from icecream import ic | ||
import sys | ||
ic.configureOutput(outputFunction=lambda *a: print(*a, file=sys.stderr)) | ||
ic.configureOutput(prefix='> ') | ||
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def get_parser(): | ||
parser = argparse.ArgumentParser( | ||
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) | ||
parser.add_argument("-v", "--verbose", | ||
action="store_true", help="be verbose") | ||
parser.add_argument("sequence", help="", default="") # nargs='+') | ||
parser.add_argument("stk", help="", default="") # nargs='+') | ||
return parser | ||
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if __name__ == '__main__': | ||
parser = get_parser() | ||
args = parser.parse_args() | ||
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verbose = args.verbose | ||
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# Load the alignment | ||
alignment = AlignIO.read(args.stk, "stockholm") | ||
alignment_name = args.stk.split('/')[-1] | ||
# Define the target sequence ID | ||
target_id = args.sequence | ||
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# Find the target sequence | ||
target_seq = None | ||
for record in alignment: | ||
if record.id == target_id: | ||
target_seq = record.seq | ||
break | ||
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if target_seq is None: | ||
print(f"Target sequence '{target_id}' not found in the alignment.") | ||
else: | ||
seq_len = 0 | ||
cols_no_coverage = 0 | ||
# Collect columns where the target sequence has no gaps | ||
filtered_columns = [] | ||
for col_index in range(alignment.get_alignment_length()): | ||
if target_seq[col_index] != "-": | ||
column = [record.seq[col_index] for record in alignment] | ||
filtered_columns.append(column) | ||
seq_len += 1 | ||
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# Display filtered columns | ||
if verbose: print(f"Columns where the target sequence '{target_id}' has no gaps:") | ||
for col in filtered_columns: | ||
if verbose: print(col, len(col)) | ||
# Count the number of '-' | ||
gap_count = col.count('-') | ||
if verbose: print(f"Number of '-': {gap_count}") | ||
ratio_per_col = gap_count/(len(col) - 1) | ||
if verbose: print(f'ratio of gaps: {ratio_per_col}') # -1 target_sequence | ||
if ratio_per_col > 0.5: | ||
if verbose: print('WARNING: more than 50% gaps in column', cols_no_coverage) | ||
cols_no_coverage +=1 | ||
if verbose: print() | ||
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ratio = round((1 - (cols_no_coverage / seq_len)) * 100) | ||
print(f"Query {target_id} length {seq_len} in the alignment {alignment_name} number of columns with low coverage (<50%) for the query sequence {cols_no_coverage}; coverge for the query: {ratio}%") |
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python rna_align_foldability.py test_data/gmp_ref.sto test_data/gmp_foldability.csv --verbose | ||
#python rna_align_fetch_seed.py RF00026 | ||
#python rna_align_fetch_cm.py RF00026 | ||
#python rna_align_subcols.py test_data/u6_isl_rfam.sto | ||
#python rna_align_foldability.py test_data/gmp_ref.sto test_data/gmp_foldability.csv --verbose | ||
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python rna_align_coverage.py xrRNA test_data/xrrna_rfam.sto | ||
#easel alistat test_data/xrrna_rfam.sto | ||
python rna_align_coverage.py u6isl test_data/u6_isl_rfam.sto | ||
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