Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • lfx
    Junior Member
    • Jul 2010
    • 2

    Minimum number of transcripts in cufflinks GTF

    Hi all,

    Would like to know if there is a minimum number of transcripts required in a GTF file in order for cufflinks to run properly?

    I've also tried this with cuffdiff:-
    1) full genome GTF
    2) take 10 transcripts out of the full GTF

    the FPKMs seem to pile on in the results from the smaller GTF file.

    Am I doing something wrong? The reason I'm doing this is for screening some potentially novel transcripts / locations in the genome, and would likely be working with a much smaller set of GTF entries.

    Advise is much welcomed!!!
  • adarob
    Member
    • Jul 2010
    • 71

    #2
    FPKM is Fragments Per Kilobase per Million reads sequenced. Currently, Cufflinks calculates this "million reads sequenced" as "million reads mapped to the annotation", which is something we are looking at switching in the next version. To put the FPKMs on the same scale for the different runs, simply multiply the FPKMs by the "Total Map Mass" that Cufflinks prints to the screen. You can then divide by the number of reads from the full data and everything will be on the same scale.

    Comment

    • lfx
      Junior Member
      • Jul 2010
      • 2

      #3
      adarob, thank you for the clarification.

      does this mean the cuffdiff results have already taken this into account when computing fold change between 2 samples?

      because if each run has its own map mass and number of reads, then i would think that their fpkms will not be on the same scale.

      Comment

      • adarob
        Member
        • Jul 2010
        • 71

        #4
        Since they both are forced to use the same GTF in cuffdiff, they will be on the same scale.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
          by SEQadmin2



          Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
          ...
          07-09-2026, 11:10 AM
        • SEQadmin2
          Cancer Drug Resistance: The Lingering Barrier to Rising Survival
          by SEQadmin2



          Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

          There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
          07-08-2026, 05:17 AM
        • GATTACAT
          Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
          by GATTACAT
          Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
          07-01-2026, 11:43 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, Yesterday, 10:26 AM
        0 responses
        13 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-09-2026, 10:04 AM
        0 responses
        26 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-08-2026, 10:08 AM
        0 responses
        16 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-07-2026, 11:05 AM
        0 responses
        33 views
        0 reactions
        Last Post SEQadmin2  
        Working...