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  • husamia
    Member
    • Apr 2010
    • 66

    #16
    I have seen duplicate percentage of 33% in targeted high coverage experiment and based on my assessment of false positive and false negative I am happy not removing duplicates.

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    • Michael.James.Clark
      Senior Member
      • Apr 2009
      • 207

      #17
      Originally posted by husamia View Post
      I have seen duplicate percentage of 33% in targeted high coverage experiment and based on my assessment of false positive and false negative I am happy not removing duplicates.
      It depends on what your experiment is. In some cases it has very little effect, in some it can be detrimental. In no case that I've heard of does leaving PCR duplicates in your data improve your results, however.
      Mendelian Disorder: A blogshare of random useful information for general public consumption. [Blog]
      Breakway: A Program to Identify Structural Variations in Genomic Data [Website] [Forum Post]
      Projects: U87MG whole genome sequence [Website] [Paper]

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      • panos_ed
        Member
        • May 2010
        • 11

        #18
        Originally posted by lh3 View Post
        It is possible to dedup before mapping. You may hash the first 14bp of each end and discard a pair if the 14+14bp coincides another pair. This method is not as good as deduping after mapping, but should be good enough. On the other hand, I do not think deduping is quite necessary for assembly.
        Why 14bp? Why not something else?

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        • transforu
          Junior Member
          • Sep 2014
          • 5

          #19
          Hi. everybody
          I have a problem about remove duplicates,
          In this study , http://www.ncbi.nlm.nih.gov/Traces/sra/?study=ERP000603
          It's have 2 Experiments, and 13 RUNs,
          How to do remove duplicates? by study? by Experiments? or by one runs?
          Thanks !!

          Comment

          • sarvidsson
            Senior Member
            • Jan 2015
            • 137

            #20
            Remove PCR duplicates by library (and this looks like one big "library" mixed from 4 PCR pools). Optical duplicates are removed by lane (but I guess Picard would detect the within lane reads, given proper read group labelling).

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