Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Transcript length bias in RNA-seq data confounds systems biology.

    Transcript length bias in RNA-seq data confounds systems biology.

    ABSTRACT: BACKGROUND: Several recent studies have demonstrated the effectiveness of deep sequencing for transcriptome analysis (RNA-seq) in mammals. As RNA-seq becomes more affordable, whole genome transcriptional profiling is likely to become the platform of choice for species with good genomic sequences. As yet, a rigorous analysis methodology has not been developed and we are still in the stages of exploring the features of the data. RESULTS: We investigated the effect of transcript length bias in RNA-seq data using three different published data sets. For standard analyses using aggregated tag counts for each gene, the ability to call differentially expressed genes between samples is strongly associated with the length of the transcript. CONCLUSIONS: Transcript length bias for calling differentially expressed genes is a general feature of current protocols for RNA-seq technology. This has implications for the ranking of differentially expressed genes, and in particular may introduce bias in gene set testing for pathway analysis and other multi-gene systems biology analyses. Reviewers: This article was reviewed by Rohan Williams (nominated by Gavin Huttley), Nicole Cloonan (nominated by Mark Ragan) and James Bullard (nominated by Sandrine Dudoit).

    This article was reviewed by Rohan Williams (nominated by Gavin Huttley), Nicole Cloonan (nominated by Mark Ragan) and James Bullard (nominated by Sandrine Dudoit).

  • #2
    Thanks for your post.

    As expected, length bias should be an issue. I am wondering whether some people already develop some algorithm to identify differential expression while controlling for gene lengths.

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Strategies for Sequencing Challenging Samples
      by seqadmin


      Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
      03-22-2024, 06:39 AM
    • seqadmin
      Techniques and Challenges in Conservation Genomics
      by seqadmin



      The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.

      Avian Conservation
      Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
      03-08-2024, 10:41 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Yesterday, 06:37 PM
    0 responses
    10 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, Yesterday, 06:07 PM
    0 responses
    9 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 03-22-2024, 10:03 AM
    0 responses
    49 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 03-21-2024, 07:32 AM
    0 responses
    67 views
    0 likes
    Last Post seqadmin  
    Working...
    X