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  • repinementer
    Member
    • Dec 2009
    • 80

    #1

    How to count number of mapped paired-end and single-end rna-seq reads

    Does any one know know, how to count number of mapped paired-end and single-end rna-seq reads using BAM files.
    It seems samtools idx stats does not give exactly mapped reads information ? Any suggestion will be appreciated!
  • rdeborja
    Member
    • Aug 2008
    • 42

    #2
    Try using samtools flagstat.

    Comment

    • repinementer
      Member
      • Dec 2009
      • 80

      #3
      that gives the no.of mapped loci but not mapped reads.

      Comment

      • rdeborja
        Member
        • Aug 2008
        • 42

        #4
        It generates a summary of reads based on the SAM FLAG in column 2 of the BAM file:

        4255310402 + 0 in total (QC-passed reads + QC-failed reads)
        0 + 0 duplicates
        4252238423 + 0 mapped (99.93%:nan%)
        4255310402 + 0 paired in sequencing
        2102851470 + 0 read1
        2152458932 + 0 read2
        362406042 + 0 properly paired (8.52%:nan%)
        4217472878 + 0 with itself and mate mapped
        34765545 + 0 singletons (0.82%:nan%)
        3616654841 + 0 with mate mapped to a different chr
        3273787 + 0 with mate mapped to a different chr (mapQ>=5)

        Comment

        • repinementer
          Member
          • Dec 2009
          • 80

          #5
          99.93% mapping ? I think it is not referring 99.93% of your reads are mapped. 100% mapping is not possible or at least too good be true.

          Comment

          • rdeborja
            Member
            • Aug 2008
            • 42

            #6
            Yes, 99.93% read mapping, although it doesn't include the quality of the mapping. You'll have to look that up in the BAM file independently.
            Last edited by rdeborja; 01-05-2013, 03:42 PM.

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            • repinementer
              Member
              • Dec 2009
              • 80

              #7
              If you look at any published studies (2010-12), you will typically see 80-90% but not ~100%. What thats tells ? Tophat always reports 100%. Something wrong isn't it ?

              Comment

              • dariober
                Senior Member
                • May 2010
                • 311

                #8
                Originally posted by repinementer View Post
                If you look at any published studies (2010-12), you will typically see 80-90% but not ~100%. What thats tells ? Tophat always reports 100%. Something wrong isn't it ?
                There's nothing wrong there. If I remember correctly Tophat produces bam files containing only the mapped reads (accepted_hits.bam). The unmapped reads are written to a separate file I think. That's the reason why the bam files have 100% mapped reads (in fact it shoud be 100% not ~99%).

                Dario

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                • kopi-o
                  Senior Member
                  • Feb 2008
                  • 319

                  #9
                  I find it helpful to use bam_stat.py from RSeQC or Picard's CollectAlignmentSummaryMetrics to get the number of reads that mapped one or more times (which you don't get from flagstat)

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