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  • stormin
    Member
    • Aug 2014
    • 23

    HTSeq count to expression level

    Hi,

    I understand that the raw HTSeq output is number of reads mapped to each gene (correct me if I'm wrong). Is there an easy way of converting counts to gene expression? The method should take into account gene length as well as total seq depth to be comparable between samples.

    Also, I use DESeq2 to do differential expression using HTSeq raw output, is that a valid method? Does DESeq2 automatically take into account gene length?

    Thank you!
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    If you really wanted to, you could convert the counts to RPKM or FPKM, though you shouldn't do statistics on those.

    Alternatives to DESeq2 include edgeR and limma/voom, both of which will accept the same counts. DESeq2 doesn't account for gene length because it's constant between group. If you have a gene length bias between samples that's confounding things then look at the CQN package.

    Comment

    • stormin
      Member
      • Aug 2014
      • 23

      #3
      Originally posted by dpryan View Post
      If you really wanted to, you could convert the counts to RPKM or FPKM, though you shouldn't do statistics on those.
      Thanks for the concise answer, are there any scripts that can do this conversion?

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        I think edgeR has a function to do that if you supply the gene lengths. That's such a simple thing to compute that I suspect most people just write a script as needed.

        Comment

        • stormin
          Member
          • Aug 2014
          • 23

          #5
          Sounds good, thanks!

          Comment

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