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  • polsum
    Member
    • May 2009
    • 32

    Multiple Mappings

    Hi - I have shortRNA NGS data and there are many short reads that map to multiple types of microRNAs and some microRNAs and genes. To which type of microRNA or gene should I assign this read?

    For example if a read A maps to 4 different microRNAs mir-1, mir-2 mir-3 and mir-4, should I consider that read as mir-1 or 2 or 3 or 4? or should I equally distribute the mapping? like 25% to each?

    Please advice - thanks in advance.
  • polsum
    Member
    • May 2009
    • 32

    #2
    No one? I am pretty sure some of you might have encountered same question or problem. Thanks in advance.

    Comment

    • cjp
      Member
      • Jun 2011
      • 58

      #3
      I'm not exactly sure what you mean - but in this cufflinks help page:



      they say this for estimating FPKM values when a read maps to multiple places:

      "Individual reads will sometimes be mapped to multiple positions in the genome due to sequence repeats and homology. By default, Cufflinks will uniformly divide each multi-mapped read to all of the positions it maps to. In other words, a read mapping to 10 positions will count as 10% of a read at each position."

      Chris

      Comment

      • gringer
        David Eccles (gringer)
        • May 2011
        • 845

        #4
        Individual reads will sometimes be mapped to multiple positions in the genome due to sequence repeats and homology. By default, Cufflinks will uniformly divide each multi-mapped read to all of the positions it maps to. In other words, a read mapping to 10 positions will count as 10% of a read at each position.
        And if you read a little bit further:
        If multi-mapped read correction is enabled...Cufflinks will first calculate initial abundance estimates for all transcripts using the uniform dividing scheme. Cufflinks will then re-estimate the abundances dividing each multi-mapped read probabalistically based on the initial abundance estimation of the genes it maps to, the inferred fragment length, and fragment bias (if bias correction is enabled).

        Comment

        • polsum
          Member
          • May 2009
          • 32

          #5
          Thank you very much cjp, this is exactly what I am looking for.

          Comment

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