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Old 11-25-2010, 03:29 AM   #1
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Location: London

Join Date: Dec 2009
Posts: 5
Default Understanding the qmap bis-seq format


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. Iíve read the format description (attached) from the GEO entry but this hasnít answered all my questions. Iíve 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 donít 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 Iím missing something!

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

Many Thanks,

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File Type: txt GSE17972_HumMethy.qmap.chr_format.txt (1.2 KB, 32 views)
gwilson is offline   Reply With Quote
Old 07-06-2011, 07:40 PM   #2
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I think column10 is the total hits of reads mapped across this site on the whole genome
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Old 08-29-2011, 10:21 PM   #3
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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.
sciencewu is offline   Reply With Quote
Old 10-31-2016, 12:47 PM   #4
Location: china shanghai

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Any idea to transfer qmap to bigwig/bedgraph/wig to show the methylation level for each postion?
Tlexander is offline   Reply With Quote

bgi, bis-seq, bs-seq, methylome, qmap

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