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  • biofreak
    Member
    • Jun 2011
    • 44

    #1

    Differnt results with old and new DESeq package for RNAseq

    hi
    I had done some RNAseq analysis using the older (1.5) version of DESeq and obtained differentially expressed genes. I re-run the analysis on the same data using version 1.8.2.
    The results are completely different. Nothing (# of genes, Pvalues) is matching with the previous results! Moreover, it is mostly a different "set" of genes. I can not trust the results if they are not reproducible.
    Can anyone please help?
  • chris
    Member
    • Apr 2008
    • 52

    #2
    Yup. Been there... I had some genes going from p=1e-74 to p=0.01. I suggest you check the significant genes and see if they look believable in relation to the raw data. Particularly watch out for genes which are highly variable between replicates.

    It's not unique to DESeq either. Others have reported significant differences in results when using different versions of the same package.

    Which goes to show that reporting version numbers of tools used for analysis *must* be stored and reported.

    Comment

    • biofreak
      Member
      • Jun 2011
      • 44

      #3
      thank you for the prompt reply. I'll dig more into raw data like you suggested.
      But what bothers me is that there is no correlation with the previous data! At least in my case. All the analysis following this ( functional enrichment , clustering) is going to change and so are your conclusions... It is difficult to trust the results!

      Comment

      • Simon Anders
        Senior Member
        • Feb 2010
        • 995

        #4
        Please see these posts for an explanation:

        Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


        Comment

        • biofreak
          Member
          • Jun 2011
          • 44

          #5
          Simon,
          thanks for replying.
          Yes. I actually I had asked you the similar question before and you pointed me to the development version of DEseq (then) which takes care of those high variance and small P values situations.

          Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


          So I was under impression that I am already using the modified version of DESeq until recently when we upgraded our systems, I installed the latest version of DESeq and started obtaining completely different results.

          Comment

          • Simon Anders
            Senior Member
            • Feb 2010
            • 995

            #6
            I guess you'll have to dig and find out which version you where using when to be sure.

            Comment

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