Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • tboothby
    Member
    • May 2011
    • 56

    #1

    RSEM expected counts question

    I want to check that I understand the output of RSEM correctly. As I understand it the "expected_count" output for each gene is the number of fragment reads that are predicted to map to that "gene."

    Read fragments that map to multiple "genes" are not thrown away but their mapping is divided among those "genes." Thus, you would expect most expected_count estimations to be non-integers.

    So if a particular "genes" expected_count value was 1215.54 that would mean that RSEM estimates 1215.54 reads mapped to it. Is this correct?

    Another question:
    Is there any benchmark for what a "good" expected_count would be in terms of assessing whether or not that gene is expressed?

    Does this mean that a transcript with an expected_count of say 8 only had 8 fragments map to it? If this is the case it probably isn't expressed, expressed at exceedingly low levels, or the sequencing was data is bad... right?

    Thanks for your input.
  • arvid
    Senior Member
    • Jul 2011
    • 156

    #2
    Originally posted by tboothby View Post
    So if a particular "genes" expected_count value was 1215.54 that would mean that RSEM estimates 1215.54 reads mapped to it. Is this correct?
    Yes.

    Originally posted by tboothby View Post
    Is there any benchmark for what a "good" expected_count would be in terms of assessing whether or not that gene is expressed?

    Does this mean that a transcript with an expected_count of say 8 only had 8 fragments map to it? If this is the case it probably isn't expressed, expressed at exceedingly low levels, or the sequencing was data is bad... right?
    There is no way of specifying an absolute threshold for a call expressed/not expressed, since this depends on the amount you sampled and the depth of sequencing... Thus it is virtually impossible to tell whether your gene is lowly expressed or not at all - it is simply below or at your detection threshold.

    Do replicates, then you can tell whether a weak measurement is robust.

    Comment

    • tboothby
      Member
      • May 2011
      • 56

      #3
      Another few questions:
      I have used Bowtie to map read fragments to a reference transcriptome. When I look at a sample of individual transcripts in IGV I see they have thousand fold coverage.

      When I look at the same transcripts in my RSEM output their "expected_count" numbers are low (at least thats my initial impression), with values of 15 or so.

      I am trying to understand why this is happening, are those thousands of fragments I see in IGV also mapping to other transcripts?

      Is there an easy way to check this?

      Would this cause such low expected_count values?

      Any other ideas of why this would be happening?

      Thanks for your input.

      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, 10-15-2026, 10:52 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-14-2026, 05:39 AM
      0 responses
      29 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-13-2026, 09:56 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-09-2026, 11:14 AM
      0 responses
      28 views
      0 reactions
      Last Post SEQadmin2  
      Working...