How to subset fastq data based on leading nt of sequences?

I wanted to extract reads from a fastq format file for the reads that the 1-8 nt with a format of "NNNNNGGG" and saved as a fastq file as well for further alignment. for example for the three reads below:

@SRR8105603.9 NS500418:833:HNY2CBGX5:1:11101:10498:1122 length=76
GCAGGGGGACCCCATCTCTACTAAAAATACAAAAATTAGACAGACGTGATGGGGCATTTCTCTAATCCCAGCTACT
+SRR8105603.9 NS500418:833:HNY2CBGX5:1:11101:10498:1122 length=76
AAAAA//EEEEEEE/EEEA/EEEE/E/E6EEAEAE/6EE/E///A/AA</A<</6<A<6EE/A6AEEEE//E6AE/
@SRR8105603.10 NS500418:833:HNY2CBGX5:1:11101:23704:1138 length=75
TGCTCGCGGATCGCTTGAGTCCAGGAGTTCAAGACCAGCCTGGGTAACATGGCAAAACCTCATCTCTACAAAAAA
+SRR8105603.10 NS500418:833:HNY2CBGX5:1:11101:23704:1138 length=75
AAAAAA//EAEAEAEE/AAEEEAEEEEAEEEAEEAEEEA<A<</EA/E6//<EAEE<AAE<EEAAEEEE///</<
@SRR8105603.11 NS500418:833:HNY2CBGX5:1:11101:26002:1139 length=76
TGCGAGGGGCAAGTTCCTGTTTCCAAACAACAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGGGGGGGGAGGG
+SRR8105603.11 NS500418:833:HNY2CBGX5:1:11101:26002:1139 length=76

The 1st and 3rd reads the 1-8 nt meet the "NNNNNGGG" format (GCAGGGGG and TGCGAGGG respectively) so the extracted would be:

@SRR8105603.9 NS500418:833:HNY2CBGX5:1:11101:10498:1122 length=76
GCAGGGGGACCCCATCTCTACTAAAAATACAAAAATTAGACAGACGTGATGGGGCATTTCTCTAATCCCAGCTACT
+SRR8105603.9 NS500418:833:HNY2CBGX5:1:11101:10498:1122 length=76
AAAAA//EEEEEEE/EEEA/EEEE/E/E6EEAEAE/6EE/E///A/AA</A<</6<A<6EE/A6AEEEE//E6AE/
@SRR8105603.11 NS500418:833:HNY2CBGX5:1:11101:26002:1139 length=76
TGCGAGGGGCAAGTTCCTGTTTCCAAACAACAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGGGGGGGGAGGG
+SRR8105603.11 NS500418:833:HNY2CBGX5:1:11101:26002:1139 length=76

rna-seq

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updated 7.0 years ago by steve

• written 7.0 years ago by ddzhangzz

it sounds like the real issue is that the files did not demultiplex correctly with bcl2fastq?

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written 7.0 years ago by steve

2 answers

try seqkit grep:

seqkit grep -p '^NNNNNGGG' -d read_1.fq.gz -o out_1.fq.gz

seqkit grep -R 6:8 -p GGG read_1.fq.gz -o out_1.fq.gz

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written 7.0 years ago by shenwei356

If I was to do this, I would probably write a simple Python script with Biopython using SeqIO; https://biopython.org/wiki/SeqIO

I have an example script here where I subset by the 'qname' of each read: https://github.com/stevekm/fastq-bed-subset/blob/6f19f4e71c70776970b487bf673f54df6adae0f1/bin/subset_fastq.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Subsets a .fastq.gz file to extract only the reads with the matching qnames
"""
import sys
import gzip
from Bio import SeqIO

def main():
    args = sys.argv[1:]
    input_fastq = args[0]
    qnames_txt = args[1]
    output_fastq = args[2]

    qnames = []
    with open(qnames_txt) as fin:
        for line in fin:
            qnames.append(line.strip())

    with gzip.open(input_fastq) as gz_in, gzip.open(output_fastq, 'wb') as gz_out:
        input_seq_iterator = SeqIO.parse(gz_in, "fastq")
        seq_iterator = (record for record in input_seq_iterator if record.id in qnames)
        SeqIO.write(seq_iterator, gz_out, "fastq")

if __name__ == '__main__':
    main()

you would probably want to do something like this but instead check for the first n bases to match some pattern.

Do not expect fast performance though

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written 7.0 years ago by steve