Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Power Analysis - Sample Size Calculation

    Hi all,
    We have been asked by reviewers of a grant application to provide them with a power analysis, to determine how many biological replicates we were including in our RNAseq experiment.
    While there are resources available to easily do sample size calculations for microarray experiments by uploading a pilot experiment, I guess RNAseq is too new for the equivalent to exist.
    Does anybody have tools to do that, clues or thoughts on the topic?
    Thanks very much in advance!

  • #2
    Hi jroussarie,
    We are wondering the same thing. Have you had any luck with the approaches described here?
    Thanks!

    Comment


    • #3
      Power Analysis - sample size calculation

      Dear Forum,

      I would like to withdraw my previous post on the subject.
      The best way I can figure is:

      1. log2 transform number of counts,logcounts=log2(counts+1), for
      each replicate of "typical" transcript.
      2.Based on these numbers perform power/sample size calculation as
      for a t-test. use p=.001 to compensate approximately for multiple testing.

      With hopes that this helps,
      Rich

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Genetic Variation in Immunogenetics and Antibody Diversity
        by seqadmin



        The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...
        11-06-2024, 07:24 PM
      • seqadmin
        Choosing Between NGS and qPCR
        by seqadmin



        Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...
        10-18-2024, 07:11 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, Today, 11:09 AM
      0 responses
      23 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, Today, 06:13 AM
      0 responses
      20 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 11-01-2024, 06:09 AM
      0 responses
      30 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 10-30-2024, 05:31 AM
      0 responses
      21 views
      0 likes
      Last Post seqadmin  
      Working...
      X