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  • Fernas
    Member
    • Apr 2013
    • 74

    Modify GENCODE GTF File for HTSeq

    I want to run HTSeq on count number of mapped mRNA reads on Human genes (GENCode GTF file). However, I have to modify this gtf file because I want to allow a search region of an offset of -200 bp upstream of each gene. I think I need to add exon of length 200bp to each gene, so, HTSeq can count the reads that overlap such regions. Do you know if there is some script (code) which can do that?
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    Just extend the bounds of each exon #1. I'm not aware of a premade script to do this, but you could write one in python or R (import the GTF as a GRanges object, split by transcript, and apply an appropriate function) easily enough.

    Comment

    • Fernas
      Member
      • Apr 2013
      • 74

      #3
      Thank you very much @dpryan. I think I will write this code. I guess it is simple but needs more careful analysis. This is because we need to check for each gene (or transcript) if the new upstream region will not hit any upstream gene. If such case happens, then we need to shrink the upstream region accordingly. Is this right? or we let genes overlap with each other (then HTSeq will identify reads as ambiguous)

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        There's no reason to shrink regions if they overlap another gene. If you're going to grow a genes extent and that causes an overlap then so be it. Having a few more ambiguous alignments in such cases is a non-problem.

        Comment

        • Fernas
          Member
          • Apr 2013
          • 74

          #5
          Thanks @dpryan. I agree with you that we do not need to shrink, however, I suggested this to avoid eliminating reads from being counted by HTSeq count. Actually, I do not like the ambiguity approach in HTSeq count because it artificially changes the way the expression count is defined. I just posted a question about this.

          Comment

          • dpryan
            Devon Ryan
            • Jul 2011
            • 3478

            #6
            There's nothing artificial about how htseq-count handles that. It's the correct solution for the downstream analyses for which it's intended.

            Comment

            • Fernas
              Member
              • Apr 2013
              • 74

              #7
              I agree with you if you mean that HTSeq-count is intended to generate expression matrix for detection of differentially expressed genes. Unfortunately, this is just one single applications, while, many applications need expression matrix that reflect the actual expression mechanism. Please correct me if you think this is not true and/or not accurate.

              Comment

              • dpryan
                Devon Ryan
                • Jul 2011
                • 3478

                #8
                Correct and there's no need to bother modifying htseq-count when there are so many existing tools that are intended for those purposes.

                Comment

                • Fernas
                  Member
                  • Apr 2013
                  • 74

                  #9
                  Thanks very much @dpryan for your replies and the suggestions

                  Comment

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