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  • bioenvisage
    Member
    • Oct 2009
    • 40

    sort

    can any one help me , how to sort a file to have only unique reads, the format is the following

    >HWI-EAS373:1:1:10:1119#0/1
    GGAGCATTGCGACATTTAGCTNATTCAGCGGCATGGAAGG
    >HWI-EAS373:1:1:10:1119#0/2
    GGAATAAGCAGAGTGAGCATAAGAGAAGATGNCTTCATGC
    >HWI-EAS373:1:1:11:1157#0/1
    CGGGAATCCGGGACTTGAAAANATTCAGAACACTTTTCAG
    >HWI-EAS373:1:1:11:1157#0/2
    GATCCAGTTAAGGCAGAGATTGAGAGTTCACNGGAGAGTA
    >HWI-EAS373:1:1:11:986#0/1
    GTTTCCTCATACTAGACAACANATTCATGGTGTTTGAAGC
    >HWI-EAS373:1:1:11:986#0/2
    CCGGATGAGAGAAAAAGGGCTGCTGCAGCCANGGTTGAGC
    >HWI-EAS373:1:1:11:1274#0/1
    CGTCCTCCTCTCCTCCTGTCGNCTCCAGCGCACCA
  • simonandrews
    Simon Andrews
    • May 2009
    • 870

    #3
    Note that there weren't any repeated sequences in your example dataset, but something like this should pull out unique sequences. It will be a bit memory heavy since it needs to keep all unique sequences in memory but there's no getting around that really.

    Code:
    #!/usr/bin/perl
    use warnings;
    use strict;
    
    my %kept;
    my %rejected;
    
    while(my $header = <>) {
      chomp $header;
      my $seq = <>;
      chomp $seq;
      next if (exists $rejected{$seq});
      if (exists $kept{$seq}) {
        delete $kept{$seq};
        $rejected{$seq} = 1;
      }
      else {
        $kept{$seq} = $header;
      }
    }
    
    foreach (keys %kept) {
      print $kept{$_},"\n",$_,"\n";
    }
    
    warn "Rejected ".(scalar keys %rejected)." sequences\n";

    Comment

    • cariaso
      Member
      • Jan 2008
      • 31

      #4
      grep -v '>' myfasta | sort -u

      is a short solution. But perhaps you need fasta? with or without original ids?

      Comment

      • Dave S.
        Junior Member
        • Jan 2010
        • 5

        #5
        Originally posted by simonandrews View Post
        Note that there weren't any repeated sequences in your example dataset, but something like this should pull out unique sequences. It will be a bit memory heavy since it needs to keep all unique sequences in memory but there's no getting around that really.
        Using a combination of Bio::SeqIO and Digest::MD5 you can generate signatures for all the sequences traversed and only keep the MD5 signatures in memory. Works best when the average sequence is much longer than the MD5 signature.

        The code is left as a homework exercise for bioenvisage.

        Comment

        • Fabien Campagne
          Member
          • Feb 2010
          • 39

          #6
          We've implemented an efficient two-pass algorithm in Goby (see my other post). Here's how to proceed once you have downloaded the tool:

          If you have a fasta/fastq format, first convert to compact format:
          java -Xmx3g -jar goby.jar -m fasta-to-compact with-redundancy.fasta
          (The file with-redundancy.compact-reads should have been created.)
          Use the tally-reads mode to calculate how many times each sequence appears in the input:
          java -Xmx3g -jar goby.jar -m tally-reads with-redundancy.compact-reads -f myfilter
          Tally reads leverages sequence digests and works in two passes to minimize memory usage. Input files can contain tens of millions of reads.
          Convert back to fasta, excluding sequences that appear more than once:
          java -Xmx3g -jar goby.jar -m compact-to-fasta -i with-redundancy.compact-reads -f myfilter-keep.filter -o unique-reads.fa

          See our wiki for nicer formatting and other options:
          Last edited by Fabien Campagne; 02-02-2010, 02:24 PM.

          Comment

          • flxlex
            Moderator
            • Nov 2008
            • 412

            #7
            awk will do a much faster job than sort | uniq -c (which I used a lot before I discovered awk). First, use grep to get the lines not starting with '>', then use awk. Same as with @simonandrews solution: it will store all unique reads in memory.

            grep -v '>' INFILE | awk '{r[$0]=1}END{for (x in r){print x}}'

            Comment

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