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  • kmcarr
    Senior Member
    • May 2008
    • 1181

    #16
    Originally posted by yifangt View Post
    My question is related, but not quite the same, which is: I need to get a sub-string of the sequence and the corresponding quality score for each of the entries, the file format untouched. My Illumina reads consists of 101bp long. I want remove the first 10bp and last 25bp then only the middle 66bp left.

    The reason I need do this is my DNA sequence is methylated and the first 10 and last 25bp seem not having good quality in general so that I want get rid of them. My challenge is to remove both quality score and sequence correspondingly.
    Code:
    use Bio::SeqIO; use Bio::Seq::Quality;
    
    $seqio = Bio::SeqIO->new('-format'=>'fastq' , '-file'=>'some.fasq');
    
    my $out_fastq = Bio::SeqIO->new( -format => 'fastq', '-file'=> 'subset.fastq');
    
    while((my $line = $seqio->next_seq() ) { 
    # keep the id 
    # substring the sequence (from 11 to 66) 
    # substring the quality score (from 11 to 66) $out_fastq->write_seq($line); }
    Or any tools there to do my job?

    Thanks a lot!

    Yifang
    Yifang,

    First rule of coding, never write your own when a tool already exist to do what you want. The FASTX-Toolkit has a utility to do exactly what you want, namely the fastx_trimmer. You give an input file (fasta or fastq), the postion of the first and last base you wish to keep (in your case 11 and 76) and it will produce a trimmed (bases and quality) file.

    Comment

    • yifangt
      Member
      • Feb 2011
      • 61

      #17
      Thanks a lot kmcarr! I was searching for it, just missed the inside. I will give it a try.

      Best!
      Yifang

      Comment

      • gpcr
        Member
        • May 2010
        • 18

        #18
        Code:
        awk '{print ; getline } {print substr($0, 11, 76) ; getline; print ; getline ; print substr($0, 11, 76) }' input.fastq

        Comment

        • yifangt
          Member
          • Feb 2011
          • 61

          #19
          This is a cool script. Thanks gpcr! Yifang

          Comment

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