Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • haritz_irizar
    Junior Member
    • Mar 2016
    • 3

    #1

    featureCount overlapping features from different strands

    Hi all,

    My name is Haritz Irizar and I am a postdoctoral fellow at the Icahn School of Medicine at Mount Sinai.

    I'm intending to use featureCounts on single-end RNAseq data aligned with STAR to generate meta-feature-level counts using a .gtf file that combines Ensembl annotations and LNCipedia annotations for hg19.

    The overlap between the lncRNA features and the Ensembl features is quite extensive and, while I want featureCounts to ignore the reads that map to overlapping features transcribed from the same strand, I'd like it to count in the reads that map to overlapping features transcribed from different strands.

    Does any of you know how does featureCounts, if run without a -O flag, handle the reads that map to overlapping features transcribed from different strands? Does it count them in? Or, it ignores them as any other multi-overlapping read?

    And, if the latter is true, any idea how could I tell featureCounts to count them in?

    Thanks a lot for your help,

    Haritz

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, 11:13 AM
0 responses
19 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, Yesterday, 10:48 AM
0 responses
18 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...