Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • polvo
    Junior Member
    • Nov 2013
    • 3

    #1

    Quantifying ChIP-seq peak density in gene bodies

    I am looking for a way to quantify all of the peak density/abundance of ChIP signal for a POL II ChIP-seq experiment in every refseq gene body that doesn't involve normalization for gene size and can be a variable span accommodate each gene from TSS to TTS. The only software I know that quantifies abundance requires you to either enter a fixed span for each genomic region or normalizes for gene length. Thank you.
  • crazyhottommy
    Senior Member
    • Apr 2012
    • 187

    #2
    Have a look at the Homer software:


    "Measuring Gene Expression in Exons vs. Gene Bodies.
    Depending on the type of sequencing you are analyzing, you will want to quantify RNA from different parts of the gene. The "-count [...]" option controls which regions of the gene are used for analysis (use like "-count exons" or "-count genes"). The options below only pertain to 'rna' or a custom GTF file:
    exons - Counts tags in exons only. Use this for most applications of RNA-Seq, such as polyA-RNA-seq or other techniques that aim to measure mRNA.
    cds - Counts tags in coding regions only. This could be useful for quantifying ribosome coverage on coding sequences with techniques such as Ribo-Seq
    introns - Counts tags on introns only.
    5utr or 3utr - Count tags on 5' UTR and 3' UTR regions, respectively.
    genes (default) - Counts tags on the full gene body (TSS to TTS). This is useful for GRO-Seq where we expect coverage across the entire transcript. Can also be used to quantify H3K36me3 or PolII ChIP-Seq."

    Comment

    • crazyhottommy
      Senior Member
      • Apr 2012
      • 187

      #3
      Originally posted by polvo View Post
      I am looking for a way to quantify all of the peak density/abundance of ChIP signal for a POL II ChIP-seq experiment in every refseq gene body that doesn't involve normalization for gene size and can be a variable span accommodate each gene from TSS to TTS. The only software I know that quantifies abundance requires you to either enter a fixed span for each genomic region or normalizes for gene length. Thank you.
      Or you may provide a bed file containing all the gene information from TSS to TSS
      and use coverageBed from bedtools http://bedtools.readthedocs.org/en/l.../coverage.html

      Comment

      • jwfoley
        Senior Member
        • Jun 2009
        • 183

        #4
        You could use UniPeak and annotate with known genes, as done in this paper: http://www.biomedcentral.com/1471-2164/14/720/abstract

        But you're unlikely to find pol II very far into gene bodies anyway, unless you used the antibody for the serine 2-phosphorylated form. So if you start from entire gene-body annotations you may have problems.
        Last edited by jwfoley; 11-06-2013, 04:24 PM.

        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...