Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • fongchun
    Member
    • May 2011
    • 55

    #1

    Cufflinks p_id explanation

    Hi,

    I've been using cufflinks/tophats to work with 28 RNASeq libraries (some of which below to group A, and some to group B) and so far I've the following workflow:
    1. Ran tophat on each library with refseq gene model annotations
    2. Ran cufflinks on each library with refseq to Reference Based Assembly
    3. Ran cuffmerge on all the libraries with refseq
    4. Running cuffdiff between two groups merged.gtf from cuffmerge


    When I look at the merged.gtf file produced from cuffmerge, I see the attribute p_id added to some of the lines. According to the cufflinks website, p_id means:

    The ID of the coding sequence this transcript contains. This attribute is attached by Cuffcompare to the .combined.gtf records only when it is run with a reference annotation that include CDS records. Further, differential CDS analysis is only performed when all isoforms of a gene have p_id attributes, because neither Cufflinks nor Cuffcompare attempt to assign an open reading frame to transcripts.
    I've been struggling to understand exactly what this even means. They must be referring to the CDS features in my refseq.gtf file? Cuffdiff is supposed to output a cds_exp.diff file which according to the website:

    Coding sequence differential FPKM. Tests differences in the summed FPKM of transcripts sharing each p_id independent of tss_id
    When I look at the merged.gtf file, I have yet to see transcript share the same p_id. Only exons of the same transcript share the same p_id. Am I missing something here? What does the p_id attribute even truly mean? Is my pipeline wrong here or something?

    Thanks,

    Fong
  • fongchun
    Member
    • May 2011
    • 55

    #2
    Does anyone have an answer to this question? Or some more reference as to where I can find this information?

    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
    28 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
    38 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-14-2026, 05:39 AM
    0 responses
    44 views
    0 reactions
    Last Post SEQadmin2  
    Working...