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  • Starr_Hazard
    Member
    • Nov 2010
    • 19

    DESEq2 seems to under report counts for SE reads

    Here are the Align summary data from TopHat for single-end reads. These SE Reads are NOT stranded.

    cat /PATH/align_summary.txt | grep Mapped
    Mapped : 66096436 (97.2% of input)
    Mapped : 59491205 (97.4% of input)
    Mapped : 58752388 (97.4% of input)
    Mapped : 61205947 (97.4% of input)

    So an average number of reads of about ~60 million

    The default options for htseq-count are ( i.e. Like I do for paired-end reads): htseq-count -f bam -r name accepted_hits_sorted_QN.bam (name sorted bam)

    21237878 22854704 23350366 21377177 (sums for four conditions -2 control 2 experimental)


    So ~21 million. Roughly one third of the reads are reported.


    Just running DESeq2 on the UN-sorted bam (i.e. The original *bam file from TopHat) with default value for “s” (default is “yes” assumed stranded).
    Gives
    23794422

    Unsorted bam with “s” = no " htseq-count -f bam -r name –s no accepted_hits.bam" (original bam from TopHat)
    47138205
    Name Sorted bam with “s” =no "htseq-count -f bam -r name –s no accepted_hits_sorted_QN.bam” (name sorted bam)

    44074576
    The closest I can get to number of reads reported by TopHat is 47/60 million.

    Can someone explain why I might be seeing the low number of counts relative to the number of reported reads.

    The issue does NOT appear for paired-end reads. For PE reads the counts reported TopHat matches closely the sum of counts reported by htseq-counts.
  • Michael Love
    Senior Member
    • Jul 2013
    • 333

    #2
    hi,

    Just to get more accurate attention, note that the title of the post might better mention htseq-count, which is the software in question and not DESeq2 (though DESeq2 does have an import function for htseq-count files, these are separate software packages).

    I think the -r name option is only for use with paired-end files. Otherwise, I would guess that the file should be pos sorted.

    Other questions I would have are to check the quality scores for these BAMs, as there is a quality score filter in htseq-count.

    Also what is the organism and what is the GTF file you are using?

    Comment

    • dpryan
      Devon Ryan
      • Jul 2011
      • 3478

      #3
      For what it's worth, it's MUCH faster to just use featureCounts rather than htseq-count.

      Comment

      • Starr_Hazard
        Member
        • Nov 2010
        • 19

        #4
        Good point about the subject line
        Mm_UCSC_Mm10_genome.gtf was used for TopHat/Bowtie2 to make the bam and by htseq-count to count

        I believe default TopHat/Bowtie2 bams are coordinate/position sorted already so I am asking htseq-count to examine the original bam with no r option and s also set to no

        Thanks for the tip.
        Among other careless things, my tests did not include the r option as indicated in the original post.
        The best count is still 47 million with "htseq-count -f bam -s no " and the unaltered TopHat bam

        I'll check out featureCounts

        Comment

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