Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Regression analysis of RNA-Seq data and qPCR data

    I have been trying to check the correlation between the RNA-Seq RPKM and qPCR expr value.

    Is it possible that the linear correlation between log2(RPKM) and log2(qPCR) value is worse than the linear correlation between RPKM and qPCR expression value consistently?

    *qPCR expression value here is referring to normalized ct value by comparing with one gene (as shown in ncbi GSE5350)

    Thank you.

  • #2
    Why would you compare a cycle number (log scale) with an RPKM value (linear scale), or take the log of a ct value (log-of-log scale)? Maybe remind yourself what a ct value actually means before proceeding.

    Comment


    • #3
      You should indeed not use "expression" when you refer to Ct values. To go from Ct to expression you need to raise the efficiency to the power -Ct (presuming you've calculated the efficiency, otherwise you probably assume it's 2). It's also best to use multiple reference genes to normalize because otherwise you're putting a lot of fate in the stability of that one gene.

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Recent Advances in Sequencing Analysis Tools
        by seqadmin


        The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
        05-06-2024, 07:48 AM
      • seqadmin
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin




        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
        04-22-2024, 07:01 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, Yesterday, 06:35 AM
      0 responses
      15 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 05-09-2024, 02:46 PM
      0 responses
      21 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 05-07-2024, 06:57 AM
      0 responses
      18 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 05-06-2024, 07:17 AM
      0 responses
      19 views
      0 likes
      Last Post seqadmin  
      Working...
      X