Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • 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.

  • #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


    • #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

      • seqadmin
        Recent Developments in Metagenomics
        by seqadmin





        Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...
        09-23-2024, 06:35 AM
      • seqadmin
        Understanding Genetic Influence on Infectious Disease
        by seqadmin




        During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

        Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
        09-09-2024, 10:59 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, 10-02-2024, 04:51 AM
      0 responses
      8 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 10-01-2024, 07:10 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-30-2024, 08:33 AM
      0 responses
      18 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-26-2024, 12:57 PM
      0 responses
      16 views
      0 likes
      Last Post seqadmin  
      Working...
      X