Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • doubledaffy
    Junior Member
    • May 2013
    • 2

    #1

    Multiple Runs

    I am looking to use publicly available GRO-seq data for analysis, located here http://trace.ncbi.nlm.nih.gov/Traces...tudy=SRP013239.

    There are 8 experiments, corresponding to 4 time points each with 2 bio replicates. However, each one of the experiments has 1 to 4 SRA run files associated with it. My current understanding is that all of those SRA can be combined to represent the entire transcriptome for the sample. Is this correct? If not, what is the right way to interpret it?

    The second question is about using Tophat on these. If I assume my current framework, I've thought up three ways of processing the files:
    1. Run tophat separately for each timepoint with comma separated lists of fastq files (1 bam file generated per timepoint)
    2. Run tophat separately for each timepoint with wildcard *.fastq (1 bam file generated per timepoint)
    3. Run tophat separately for each fastq file and cuffmerge common timepoint files


    What is the correct way of using tophat? Options 1 and 2 give ostensibly different results.

    Thanks for the help!
  • doubledaffy
    Junior Member
    • May 2013
    • 2

    #2
    ***bump***

    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...