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  • Simon Anders
    Senior Member
    • Feb 2010
    • 995

    #16
    Originally posted by vebaev View Post
    What about these genes that are 0 reads in one group and non-zero in the other group? I got =+Inf ot =-Inf? Should I took tham or discard them from the most diff.altered table?
    Thanks
    If you have 0 counts in one condition and hundreds of counts in other, this is most likely a valid signal, and DESeq should indicate this with a small p value. Of course, the fold change estimate is not to useful but that is a general problem if one of conditions has very low counts

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    • vebaev
      Senior Res.
      • Oct 2008
      • 112

      #17
      Yes Simon,
      the =Inf are coming from rows where one of the groups are 0 and other is some reads (sometimes 5 simetimes 500)

      I also found your post in other topic about these =Inf that if the last 2 columns the values are too big or close to zero I should discard these rows from further analysis?
      Last edited by vebaev; 08-19-2011, 12:43 AM.
      ------------
      SMART - bioinfo.uni-plovdiv.bg

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