Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • samt
    Member
    • Aug 2009
    • 14

    #1

    Unique VS Non-Unique read analysis

    I have been debating the it is more appropriate to use only uniquely mapping reads in analysis (transcript variation, expression, structural variation). I wanted to get feedback from other people and poll the consensus for analyzing rna-seq data.

    If this has been discussed already, a paper link or thread would be helpful.
  • swbarnes2
    Senior Member
    • May 2008
    • 910

    #2
    There was a recent Nature paper that mentioned uniqueness filtering...some commentary on it here:



    the blog author's take: you should get rid of non-unique reads, but this is going to limit your max coverage of single end data to 2x the read length. With paired ends, since you can get fragments of multiple sizes, your max coverage can be a whole lot higher.

    Comment

    • samt
      Member
      • Aug 2009
      • 14

      #3
      much appreciated, there is some good insight in this paper. if you know of any other papers, link them also

      Thanks

      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...