Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • GO analysis

    Hi All
    I am trying to choose between the following:
    a) using all the genes in my genome as a background for my GO analysis
    or
    b) using only those genes that have at least 1 GO term as a background for my GO analysis

    Option a) gives me more (32) enriched GO terms when compared to a set of differentially expressed genes and enhanced q-values
    option b) gives me less (18) enriched GO terms when compared to a set of differentially expressed genes and relatively higher q-values than option a.

    Any help is appreciated. FYI, I am using GOSEQ for my analysis.
    Last edited by mparida; 11-07-2015, 07:02 AM.

  • #2
    Personally I think option a) is easier to interpret.

    Given the genome as a background, there are 32 enriched GO terms in this set of differentially expressed genes.

    If you've applied an expression threshold perhaps the background could be expressed genes.

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Current Approaches to Protein Sequencing
      by seqadmin


      Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
      04-04-2024, 04:25 PM
    • seqadmin
      Strategies for Sequencing Challenging Samples
      by seqadmin


      Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
      03-22-2024, 06:39 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, 04-11-2024, 12:08 PM
    0 responses
    27 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    30 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    26 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-04-2024, 09:00 AM
    0 responses
    52 views
    0 likes
    Last Post seqadmin  
    Working...
    X