Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • gene_x
    Senior Member
    • May 2010
    • 108

    #1

    how to generate random size matched background regions

    Guys,
    Many papers do this kind of enrichment of a particular factor (TF or histone peaks) at their regions of interest. They typically get a randomly drawn, size matched control regions to estimate the background distribution. I only know how to draw a group of fixed-length random background regions using bedtools.

    However, the regions of interest are typically of variable length. In this case, how do you get a random group of background regions with the same size distribution?

    Thanks!
  • biocomputer
    Member
    • Dec 2013
    • 62

    #2
    This is an old question but I'll reply here instead of making a new post. There's another old unanswered question asking basically the same thing, and also mentions choosing regions with respect to sequence bias (GC, repets, etc.) http://seqanswers.com/forums/showthread.php?t=3011.

    I have thought that it might be a good idea to use your ChIP-seq input sample to guide selection of the random regions. The reads in your input will be biased "correctly" for GC, repetitive sequences, unmapped regions, etc., similar to the IP sample. So if you need say, 1000 random regions, what about choosing 1000 random aligned reads from your input sample and using those as the start coordinates for each region? The end coordinates would depend whether you want all regions the same size or variable.

    Does this sound like a reasonable strategy? If not, what's the best way to choose random regions to compare to my ChIP-seq peaks?

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
      by SEQadmin2




      NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
      Yesterday, 06:46 AM
    • 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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 10-28-2026, 09:57 AM
    0 responses
    26 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-28-2026, 09:51 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-22-2026, 11:13 AM
    0 responses
    71 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-22-2026, 10:48 AM
    0 responses
    48 views
    0 reactions
    Last Post SEQadmin2  
    Working...