Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Saeideh
    Member
    • Aug 2015
    • 25

    #1

    Cufflinks result

    Hi..~~

    I did cufflinks and as output, I had three files:

    -transcript.gtf
    -genes.fpkm_tracking
    -isoforms.fpkm_tracking

    My question is on genes.fpkm_tracking. As I understood, from column G, we can find out the location of the corresponding gene to the transcript which was found by cufflinks.

    For example: 1:161238-161297 => In my understanding, this means the transcript was transcribed from chromosome 1 from base pair number 161238 to base pair number 161297. Tell me if I am wrong.

    Then my supervisor asked me to find out a way to find the name of the gene (not only the chromosome and location on the chromosome but name of the gene) and not by searching in the google.

    Is there any way? Is there any tool?

    Thank you
    Last edited by Saeideh; 09-07-2015, 03:07 AM.
  • abisko00
    Member
    • Jul 2015
    • 14

    #2
    Hi Saeideh,

    I am new to Cufflinks myself, but when you look at the tracking file, the gene_id should be listed here as well (column D?). It certainly depends on which reference annotation file you've used, whther or not this name is descriptive.

    A nice alternative if to use the R package cummeRbund (same authors), which allows you to connect gene annotation data with you expression data.

    Maybe you could also use cuffcompare to assign transcripts to a reference annotation (it does far more, but in theory, you should also get the names assigned).

    Markus

    Comment

    • Saeideh
      Member
      • Aug 2015
      • 25

      #3
      Hi Markus~

      Thank youuuu.. The time I asked the question, I did not know what is reference annotation file!! but now I know.
      and I used this command: cufflinks --GTF annotationfile.gtf accepted_hits.bam
      and I could get the result.
      Last edited by Saeideh; 09-08-2015, 12:37 AM.

      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
      26 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
      43 views
      0 reactions
      Last Post SEQadmin2  
      Working...