Unconfigured Ad

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

    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

      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM
      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

        Here are nine questions we think about, in roughly the order they matter, before...
        06-18-2026, 07:11 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-30-2026, 05:37 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      55 views
      0 reactions
      Last Post SEQadmin2  
      Working...