Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • tamari
    Member
    • Oct 2012
    • 12

    #1

    Normalizing RNA-seq within samples

    Hi all,

    I have RNA-seq from different tissues (one RNA-seq for each tissue) and I would like to know for specific genes if and how they are expressed within my samples ( no need to compare between the tissues) . I thought to use TPM / FPKM but I am not sure how the RNA composition bias mentioned in DESeq and EdgeR user guide will affect my results in case I have a low expressed gene I am interested in.

    What method of normalization I should use?

    Thanks in advance!

    Best,
    Moriah
  • Genohub
    Registered Vendor
    • Mar 2013
    • 210

    #2
    If you're worried about RNA composition bias, I would try using a series of non-depleting dual labelled molecular indices. You can then count and compare within your samples using the diverse set of labels. This is described further in this publication: http://www.pnas.org/content/early/2011/05/06/1017621108

    - Genohub

    Comment

    • tamari
      Member
      • Oct 2012
      • 12

      #3
      Thanks for your answer!

      I already have the RNA-seq I just want to know how to normalize it to overcome the compositional bias...

      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, 10-22-2026, 11:13 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 10:48 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      36 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...