Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Problem with Cuffdiff

    I used Tophat> Cufflink>Cuffcomare>Cuffdiff two comare two samples (treated and control, no replicate) for RNAseq analysis to study differential expression. The output files of CuffDiff does not give any output- just of row of title for promoter Diff., CDS, splicing diff, FRKM TSS group CDS FRKM. The data in the output is only for gene expression.
    How is that possible? Am I doing something wrong or it is the way the output will be?
    Any suggestion.

    Thanks.

  • #2
    Originally posted by honey View Post
    I used Tophat> Cufflink>Cuffcomare>Cuffdiff two comare two samples (treated and control, no replicate) for RNAseq analysis to study differential expression. The output files of CuffDiff does not give any output- just of row of title for promoter Diff., CDS, splicing diff, FRKM TSS group CDS FRKM. The data in the output is only for gene expression.
    How is that possible? Am I doing something wrong or it is the way the output will be?
    Any suggestion.

    Thanks.
    There is something wrong with your GTF File.

    Comment


    • #3
      I have downloaded GTF file but everytime I have the same in gene expression it will nor pick up Ensembl Ids too. Is there a know URL which has been used in RNA seq analysis. I am using Hg18
      Thanks

      Comment


      • #4
        Well, I sent emails to authors of Cufflink--Cuffdidiff and Topahat but never got any response. I did figured out to map the Cuffdiff IDs to Refflat Hg18 file but now I am stuck with mapping transcripts promoters etc. Unless it has to be done with genomic positions. I believe there may be a simple way to do the same either make Cuffdiff/Cufflinker to talk with Ensembl GTF or else. Any Suggestion Please.
        Thanks
        Last edited by honey; 01-05-2011, 06:40 AM.

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Best Practices for Single-Cell Sequencing Analysis
          by seqadmin



          While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
          Today, 07:15 AM
        • seqadmin
          Latest Developments in Precision Medicine
          by seqadmin



          Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

          Somatic Genomics
          “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
          05-24-2024, 01:16 PM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, Today, 08:18 AM
        0 responses
        10 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, Today, 08:04 AM
        0 responses
        12 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-03-2024, 06:55 AM
        0 responses
        13 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 05-30-2024, 03:16 PM
        0 responses
        27 views
        0 likes
        Last Post seqadmin  
        Working...
        X