Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • tambonis
    Junior Member
    • Mar 2013
    • 2

    #1

    Validation algorithm.

    Hi.

    I work in the development of algorithm for work with differential expression with data from mRNA-Seq.
    Now I need validate this algorithm. What should I do?


    Thanks.
  • danwiththeplan
    Member
    • Sep 2011
    • 72

    #2
    You might need to be a bit more specific about what programs you are using and what your algorithm does. If you need some test datasets of RNA sequencing, there are plenty available at the sequence read archive at NCBI.

    Comment

    • tambonis
      Junior Member
      • Mar 2013
      • 2

      #3
      Sorry for the long delay.

      I am using the edgeR/DESeq/baySeq tools of the R platform to rank genes involved in differential expression. I am also developing a method to rank genes involved in differential expression.

      So, I need a count table of short reads and a list of true differentially expressed genes coming from RNA-Seq that relates two experimental different conditions.

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        It might make the most sense to use the RNAseq samples from MAQC. That's the approach taken in many papers (I think they did that in the cufflinks/cuffdiff paper).

        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, 10:52 AM
        0 responses
        11 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-14-2026, 05:39 AM
        0 responses
        19 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-13-2026, 09:56 AM
        0 responses
        17 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-09-2026, 11:14 AM
        0 responses
        27 views
        0 reactions
        Last Post SEQadmin2  
        Working...