Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • 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!

  • #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

    • seqadmin
      Essential Discoveries and Tools in Epitranscriptomics
      by seqadmin




      The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
      04-22-2024, 07:01 AM
    • seqadmin
      Current Approaches to Protein Sequencing
      by seqadmin


      Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
      04-04-2024, 04:25 PM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Today, 08:47 AM
    0 responses
    10 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-11-2024, 12:08 PM
    0 responses
    60 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    57 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    53 views
    0 likes
    Last Post seqadmin  
    Working...
    X