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  • muthu545
    Member
    • Jul 2011
    • 32

    #1

    HTSeq to DESeq

    Hi all,

    HTSeq's count file output contains # of reads for
    no_feature
    ambiguous
    too_low_aQual
    not_aligned
    alignment_not_unique

    I used to delete them from my gene matrix before inputting that
    to DESeq's newCountDataSet.

    Is it okay to do it this way or have these 5 feature_id's in the data
    matrix when performing DE analysis using DESeq
  • Simon Anders
    Senior Member
    • Feb 2010
    • 995

    #2
    You are correct, you should delete them.

    Comment

    • muthu545
      Member
      • Jul 2011
      • 32

      #3
      Thank you, Simon.

      Comment

      • tschauer
        Junior Member
        • Oct 2012
        • 6

        #4
        Hi Simon,

        The DESeq2 vignette (HTSeg input) confused me about this. The "_lowaqual" is still in there. See

        ddsHTSeq
        class: DESeqDataSet
        dim: 70467 7
        exptData(0):
        assays(1): counts
        rownames(70467): FBgn0000003:001 FBgn0000008:001 ... _lowaqual
        _notaligned
        rowData metadata column names(0):
        colnames(7): treated1fb.txt treated2fb.txt ... untreated3fb.txt
        untreated4fb.txt
        colData names(1): condition

        Comment

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