Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • weiw
    Junior Member
    • Sep 2013
    • 2

    #1

    Cuffdiff FPKM question

    Hello,

    I am fairly new to the world of bioinformatics. I have data from an Illumina RNAseq run we did with Arabidopsis RNA. I ran the reads through the Cufflinks/Cuffdiff programs to get transcript levels for genes. I've noticed that for some genes, the program will group a few (2-4) genes/loci together and give them all the same FPKM. But if I search for these genes they are obviously separate genes and not isoforms of one gene. I believe it is because these genes are highly similar in sequence. But if I go and look at my aligned reads with a genome browser, many times most of the reads will only align to one of the genes. However in some instances both or all the genes show equal amounts of reads aligning. So my question is what exactly is the FPKM for these "grouped" genes? Is it for only one of the genes, or is it distributed amongst all the genes in the group? How do I find out what the FPKM for the individual genes are? Thanks in advance to anyone with any ideas!
  • nidhi.bioinfo
    Junior Member
    • Oct 2013
    • 1

    #2
    did you got any solution for your problem. I am facing the same issue.

    Comment

    • weiw
      Junior Member
      • Sep 2013
      • 2

      #3
      Hi,

      Yes I actually did. When I ran my Cuffdiff analysis, I used my merged.gtf file as the reference genome, not the original reference genome. My basic understanding is that the merged file takes into account your experimental data, as well the original reference genome, and creates a "merged" version of the two. So in the case of the multiple loci, the merged file decided based on my data that some reads span the entire region covering those two or more loci, thus the multiple loci with one FPKM. To fix this, I ran Cuffdiff again with the original reference genome, not the merged one. Hope that made sense...

      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, 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...