Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • edge
    Senior Member
    • Sep 2009
    • 199

    #1

    Input file format for RSEM

    Hi,

    Currently I'm focus on expression profiling of transcriptome study.
    As I know, RSEM calculation is based on raw read map back to assembled contig.
    My main concern is that whether is advisable that my raw read is in proper pair form and complete length (eg. all same length 100 nt and present in pair form)?
    Since it is always a good practice to pre-process the data-set (eg. trim adaptor sequence and low quality bases) before running through de-novo assembly.

    Unfortunately, trim adaptor might cause the raw data in different read length and remove low quality read will cause that those so-called "high quality" read is not in proper pair form (some will only keep left read and some will only keep right read).

    Thus I just not sure whether the best practice is I just keep those high quality read in proper pair form and complete length for running de-novo assembly and RSEM.
    Since shorter read length (due to trim adaptor sequence) is more easier to map back to contig.
    I just scare the biased of data mapping cause the expression result inaccurate.

    Thanks for any advice sharing regarding RSEM program utilization.
  • edge
    Senior Member
    • Sep 2009
    • 199

    #2
    I got two sets of Illumina pair-end transcriptome data (both set are closely-related plant species). First, I will trim adaptor sequence and low quality bases of both data set separately before de-novo assembly separately.
    I got two sets of assembly contigs and two sets of Illumina pair-end data right now.
    My main objective of research is to identify the gene profiling of two closely-related plant .
    I will use RSEM output file as an input file for EBSeq (as mentioned by RSEM) in order to run differential expression.

    Thanks for any advice.

    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
    22 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-22-2026, 10:48 AM
    0 responses
    19 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
    42 views
    0 reactions
    Last Post SEQadmin2  
    Working...