Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • rhcr56
    Junior Member
    • Aug 2011
    • 7

    FPKM_tracking file question

    Hello,
    I've got two questions about a Tophat alignment and Cufflinks analysis on some rat RNAseq data
    1) I was wondering what an acceptable range of FPKM values should look like. I've sorted some Cufflinks jobs to retrieve a list of the genes with the most mapped fragments and the FPKM values from the genes.fpkm_tracking files seem awfully inflated, and I haven't used quantile normalization. Are we talking 0-50, 0-200,000, because I have some FPKMs that large.
    2) Why do the some rows in the fpkm_tracking files have the standard 'CUFF' id and some have the gene names? I've provided annotation at every step, and every row that I've checked with the 'CUFF' id is an annotated gene.
    Thanks
  • westerman
    Rick Westerman
    • Jun 2008
    • 1104

    #2
    1) As a guess, you may have rRNA or other contamination.

    2) Don't know. Are you using the 'merged.gtf' file and did you use your original annotation file when merging?

    Comment

    Latest Articles

    Collapse

    • mylaser
      Reply to Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
      by mylaser
      Kheloyar – Everything You Need to Know About Kheloyaar Login and Kheoyar Id
      If you are looking for an online gaming platform that offers a user-friendly experience, Kheloyar has become a name that many users search for. Whether you're interested in creating a new account, accessing your dashboard through Kheloyaar Login, or learning how to obtain a Kheoyar Id, understanding the platform's features and account process is essential.
      This guide explains everything you need to know about...
      Yesterday, 01:13 AM
    • 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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    21 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    13 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-02-2026, 11:08 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Working...