Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • feixue1039
    Member
    • Mar 2011
    • 18

    #1

    how to calculate MAPQ value in the tophat

    Hi,

    I have mapped some RNA-seq reads back to genome with Tophat and found that a lot of reads in the output of Tophat have a MAPping Value of 255. As says in the SAM specification file , a value 255 indicates that the mapping quality is not available. I wonder that in what case a read will be allocated a MAPQ value of 255 ? Does it mean that this read don't align the genome well?

    I hope I have made the question clear to you all. Any reply will be appreciated.Thanks in advance!

    feixue1039
  • me_myself_andI
    Member
    • Nov 2010
    • 30

    #2
    Related and up to now also unanswered post:
    Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc

    Comment

    • sqcrft
      Member
      • May 2012
      • 29

      #3
      some people say 255 means uniquely-mapped. but I can't find an source for that.

      Comment

      • sqcrft
        Member
        • May 2012
        • 29

        #4
        despite the sam format specification, 255 means no mapq

        Comment

        • sqcrft
          Member
          • May 2012
          • 29

          #5
          check this: http://user.list.galaxyproject.org/a...td4366680.html

          Jeremy,



          This is not strictly correct. Tophat/bowtie don’t report mapping quality values that are as meaningful as BWA, but there is some information in the mapping quality values tophat reports. Tophat yields 4 distinct values for its mapping quality values (you can do a “unique” count on the mapping quality field of any SAM file from tophat to verify this):



          255 = unique mapping

          3 = maps to 2 locations in the target

          2 = maps to 3 locations

          1 = maps to 4-9 locations

          0 = maps to 10 or more locations.



          Except for the 255 case, the simple rule that was encoded by the authors is the usual phred quality scale:



          MapQ = -10 log10(P)



          Where P = probability that this mapping is NOT the correct one. The authors ignore the number of mismatches in this calculation and simply assume that if it maps to 2 locations then P = 0.5, 3 locations implies P = 2/3, 4 locations => P = 3/4 etc.



          As you can clearly see, then MapQ = -10 log10(0.5) = 3; -10 log10(2/3) = 1.76 (rounds to 2);

          -10 log10(3/4) = 1.25 (rounds to 1), etc.



          -Kevin

          Comment

          • apredeus
            Senior Member
            • Jul 2012
            • 151

            #6
            Originally posted by sqcrft View Post
            check this: http://user.list.galaxyproject.org/a...td4366680.html

            Jeremy,

            This is not strictly correct. Tophat/bowtie don’t report mapping quality values that are as meaningful as BWA, but there is some information in the mapping quality values tophat reports. Tophat yields 4 distinct values for its mapping quality values (you can do a “unique” count on the mapping quality field of any SAM file from tophat to verify this):

            255 = unique mapping
            3 = maps to 2 locations in the target
            2 = maps to 3 locations
            1 = maps to 4-9 locations
            0 = maps to 10 or more locations.
            This actually does not seem to hold upon checking (or at least not anymore). In Tophat 1.4.1, there is no mapping quality of 2. I've looked at a large number of BAM files and it seems that the qualities are as follows:

            255 = unique mapping
            3 = maps to 2 locations in the target
            1 = maps to 3-4 locations
            0 = maps to 5 or more locations (up to the number defined in "--max-multihits").

            cheers

            Comment

            Latest Articles

            Collapse

            • SEQadmin2
              Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
              by SEQadmin2



              Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

              Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
              ...
              10-14-2026, 09:55 AM
            • SEQadmin2
              New Genomics Technologies Take Aim at Long-Standing Limits
              by SEQadmin2


              Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

              We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
              ...
              09-28-2026, 10:25 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, Yesterday, 11:13 AM
            0 responses
            19 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, Yesterday, 10:48 AM
            0 responses
            18 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-15-2026, 10:52 AM
            0 responses
            36 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-14-2026, 05:39 AM
            0 responses
            42 views
            0 reactions
            Last Post SEQadmin2  
            Working...