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  • Mad4Seq
    Junior Member
    • Jul 2011
    • 2

    #1

    Extract fastq files of unaligned reads with Bowtie 2

    Hi everyone
    I am using Bowtie 2 (2.0.0-beta2) to do alignments on the output reads of an Illumina HiSeq 50bp paired-end RNA-seq experiment.

    A preliminary analysis indicated that I have some rRNA condamination that is skewing my alignment quality metrics and I would like to get rid of those reads before further processing.

    I have tried the --un option in two different ways:

    1)As paired-end
    bowtie2 -a -x /path1/path1/Scer_rRNA -1 /path2/path2/READS_R1.fastq -2 /path2/path2/READS_R2.fastq --un ./READS_NOrRNA.fastq

    2)As single-end
    bowtie2 -a -x /path1/path1/Scer_rRNA --un ./READS_NOrRNA.fastq -U /path2/path2/READS_R1.fastq -S /path2/path2/READS_not_R2.sam

    (Also note the slight variations on the --un suntax)

    In both cases I got the same error :Warning: Could not open read file "./READS_NOrRNA.fastq" for reading; skipping...

    Does anyone have any ideas of how I should use the --un option or other ways to do the same thing?

    Thank you.
  • Mad4Seq
    Junior Member
    • Jul 2011
    • 2

    #2
    Ok...
    It seems like although the on-line manual of Bowtie2 lists --un <path> as an output option, it doesn't support this (see bowtie2 --help, it is not listed there). I used this option with Bowtie instead and seems to be working fine.

    Comment

    • Lcontami
      Junior Member
      • Feb 2013
      • 5

      #3
      With Bowtie2 you should try to change the extension .fastq to .fq

      Comment

      • cookiemic
        Member
        • Aug 2012
        • 11

        #4
        Is this problem solved?
        I encounter this problem too
        I have tried fq instead of fastq
        but still result an empty file

        Comment

        • cookiemic
          Member
          • Aug 2012
          • 11

          #5
          Thanks Kennels for solving my problem.
          Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc

          Comment

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