Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • dsher
    Member
    • Feb 2013
    • 23

    #1

    FPKM=0 in cufflinks - but there are reads mapped to these genes!

    Hello everyone

    We are using BAM to map Illumina reads to a bacterial genome, followed by Cufflinks to get the FPKMs (implemented in Galaxy). We have come across many genes for which we get FPKM=0 (using both gene and transcript expression) even though there are reads mapping to these gene IDs (when we visualize using IGV).

    The genes which have"0 FPKM" have different tags: some are LOWDATA, some are HIDATA and some are OK...

    We tried changing the number of reads used as input into Cufflinks - when we used many reads (~12,000,000 on a genome with ~2,400 genes) most of the genes have 0 FPKM and "HIDATA". When we used fewer reads (1,000,000) on the same genome many of the genes still had "0 FPKM" but now with different flags (OK or LOWDATA).

    We tried using quartile normalization and this didn't seem to help much.

    Why is Cufflinks saying there is no expression from expressed genes? Can anyone suggest a reason/fix for this?

    Thanks
    Daniel
  • pbluescript
    Senior Member
    • Nov 2009
    • 224

    #2
    From the Cufflinks manual:
    --max-bundle-frags <int> Sets the maximum number of fragments a locus may have before being skipped. Skipped loci are marked with status HIDATA. Default: 1000000

    Just make that option higher. You will need to be sure the high number of reads mapping there represent reality rather than some sort of artifact though.

    Comment

    • dsher
      Member
      • Feb 2013
      • 23

      #3
      Thanks for the tip - but this does not seem to be the case. We are using relatively few reads and get FPKM=0 with "OK" and not "HIDATA".

      looking at IGV, it seems that in several of these cases the genes on the GF file overlap (this is a bacterial genome with high coding density). Could Cufflinks just skip these regions?

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
        by SEQadmin2




        NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
        Today, 06:46 AM
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 10-28-2026, 09:57 AM
      0 responses
      22 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-28-2026, 09:51 AM
      0 responses
      14 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 11:13 AM
      0 responses
      67 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 10:48 AM
      0 responses
      47 views
      0 reactions
      Last Post SEQadmin2  
      Working...