Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • dibrahim
    Junior Member
    • Feb 2010
    • 1

    #1

    Why do .wig files differ in lines

    Hi,

    I want to correlate the coverage two ChIP-seq experiments by comparing the coverage of extended reads (to mean fragment length) in non-overlapping intervals.

    Therefor, I've used the IGV-tools count option to generate .wig files from my sorted .bam files. Now the output file looks like this

    variableStep chrom=chr10 span=100
    1 0.68
    101 1.0
    201 1.56
    301 2.08
    401 3.42
    501 2.06
    601 1.45
    701 1.0
    801 1.26
    901 1.85


    I would now like to correlate two of these experiements in R BUT the output files of the various experiments don't have the same line numbers. So I cannot generate vectors where the one line matches the other

    I don't understand why the count program doesn't generate two files with the same line number? That's what I should expect, right?

    Does anyone know why the line number is different? Does anyone have a better way to correlate the datasets in non-overlapping intervals?

    Thanks

    Daniel
  • jujubix
    Member
    • May 2011
    • 14

    #2
    Without seeing the files or knowing how IGV-tools count works, this is purely a guess, but could it be omitting intervals with 0 coverage, which a variableStep .wig file can do? I recall encountering similar problems matching up two wig files, especially in regions of the chromosomes where coverage is absent.

    My solution was to write my own read counting program, or you could identify the missing intervals (e.g. setdiff in R) and manually insert them.

    Comment

    • DZhang
      Senior Member
      • Jun 2010
      • 177

      #3
      yes, WIG files omit positions with zero.

      Best regards,
      Douglas

      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
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, Yesterday, 10:48 AM
      0 responses
      17 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      35 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...