Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • rhcr56
    Junior Member
    • Aug 2011
    • 7

    #1

    FPKM_tracking file question

    Hello,
    I've got two questions about a Tophat alignment and Cufflinks analysis on some rat RNAseq data
    1) I was wondering what an acceptable range of FPKM values should look like. I've sorted some Cufflinks jobs to retrieve a list of the genes with the most mapped fragments and the FPKM values from the genes.fpkm_tracking files seem awfully inflated, and I haven't used quantile normalization. Are we talking 0-50, 0-200,000, because I have some FPKMs that large.
    2) Why do the some rows in the fpkm_tracking files have the standard 'CUFF' id and some have the gene names? I've provided annotation at every step, and every row that I've checked with the 'CUFF' id is an annotated gene.
    Thanks
  • westerman
    Rick Westerman
    • Jun 2008
    • 1104

    #2
    1) As a guess, you may have rRNA or other contamination.

    2) Don't know. Are you using the 'merged.gtf' file and did you use your original annotation file when merging?

    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...