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  • gwilson
    Junior Member
    • Dec 2009
    • 5

    Understanding the qmap bis-seq format

    Hello,

    I hoping somebody can help me to understand the qmap format, used to describe the bis-seq methylome data from recent papers. I downloaded the data from GEO (GSE17972). It would be great if you could you take a look at the questions below, or alternatively if you know of the software that generates qmap files, I could see if there is further explanation in the manual. I’ve read the format description (attached) from the GEO entry but this hasn’t answered all my questions. I’ve pasted an example line below to help illustrate my problems.

    1. Columns 6-10 are involved with tags that map repeatedly. Does this mean that these tags have mapped to many different locations on the reference genome with the same mapping quality?
    2. I don’t understand the difference between column 3 and column 4. How do some tags (in this example, 4 tags) provide no information regarding methylation? The bisulphite converted read would presumably show the base as being C (methylated) or T (unmethylated) and would therefore be counted in column 2 or 3. What goes in column 4?
    3. Column 10 shows the sum of tags mapped repeatedly to the reference at this site. I took this to mean columns 6 + 7 + 8 + 9. However, in the example below that would equal 0+1+3+0=4, not the given value of 9896. Clearly I’m missing something!


    C 0 9 4 1 0 1 3 0 9896 550.56 Wh_V^hYUh


    Many Thanks,

    Gareth
    Attached Files
  • freefly
    Junior Member
    • Jul 2011
    • 2

    #2
    I think column10 is the total hits of reads mapped across this site on the whole genome

    Comment

    • sciencewu
      Member
      • Dec 2010
      • 12

      #3
      1. you are right,but I am not sure all the mapping locations with the same mapping quality.
      2. The column 3 give you the mapping hits which can't not give you the methylation information
      3.The column 10 is the total hits of ambiguous mapped reads across this site on the whole genome scale.

      Comment

      • Tlexander
        Member
        • Aug 2010
        • 14

        #4
        Any idea to transfer qmap to bigwig/bedgraph/wig to show the methylation level for each postion?

        Comment

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