Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • mgogol
    Senior Member
    • Mar 2008
    • 197

    #1

    cufflinks 1.0.3 missing FPKMs

    I am using tophat 1.3.0 and cufflinks 1.0.3 with -g (GTF guided) option and -u (allocate multi-reads). I am seeing a number of genes in all my samples (45 samples) that have reads aligned to them using tophat, but do not show up in the genes.fpkm_tracking result file from cufflinks. It seems to be a similar set of (~14,000) genes in all the samples that are missing, and they range all over the spectrum of read counts.

    We noticed this because 3 genes of interest to the researcher were missing from the results, but they were present with FPKMs at reasonable levels when we did the analysis previously (with older versions of everything).

    Do you have any suggestions for me as I try to troubleshoot this problem?

    Right now, I'm trying cufflinks using a gff file (instead of gtf) and trying an older version of cufflinks to verify that recovers the genes. My gtf file has one 4 megabase long intron I found using cufflinks gffread, but I assume that wouldn't cause this type of problem.

    I also emailed this to [email protected], so I'll post back if I get an answer.
  • mgogol
    Senior Member
    • Mar 2008
    • 197

    #2
    Prompt response from [email protected], I sent them a slice of my sam file and my gtf file.

    Code:
    samtools view alignment.bam | awk '{if ($3=="chr7" && $4 > (105291869-2000) && $4 < (105293957+2000)) print}' > slice.sam

    Comment

    • mgogol
      Senior Member
      • Mar 2008
      • 197

      #3
      Turns out my genes were missing because they were part of new novel transcripts with names like "CUFF.20763".

      So maybe I'll just run once with -G to get the known genes and once without a reference.

      My fault, but good to know.

      Comment

      • arrchi
        Member
        • Mar 2011
        • 46

        #4
        it should -g not -G by cufflinks' manual.

        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...