Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Changes between Cufflinks/Cuffdiff version 2.0.2 and version 2.1.1

    Hey All

    I have analysed some RNA-Seq data for a mouse genome with both Cufflinks/Cuffdiff version 2.0 and 2.1 and get quite different results. I understand that there has been a major change for Cuffdiff between versions but the number of significant results identified in version 2.1 is quite striking, e.g version 2.0: 17 statistically (q) differential genes and version 2.1: 171 statistically (q) differential genes.

    I was wondering if this level of difference was expected and/or if anybody else has experienced similar differences between Cuffdiff versions?

    (I have posted a similar message on the tuxedo-tools Google group as well)

    Kind regards

    Tom

    Additional info:

    All genes significant (q) identified in version 2.0 were identified in 2.1.

    The study is comparing wild type mice to a known ENU induced mutant. 4 replicates were used for both wild type and mutant.

    Significantly expressed (q):
    v2.0 -> genes: 17 isoforms: 0 splicing: 90
    v2.1 -> genes: 171 isoforms: 78 splicing: 12

    Diff expressed genes (p adjusted) using edgeR: 22
    Diff expressed genes (p adjusted) using DESeq: 1

    Commands used when comparing Cuffdiff versions:

    /cufflinks-2.1.1.Linux_x86_64/cuffdiff -o /NGS/users/Thomas /Cufflinks_2.1.1/ -L WT,MUT -p 15 -c 0 --library-type=fr-unstranded <files>

    /cufflinks-2.0.2.Linux_x86_64/cuffdiff -o /NGS/users/Thomas/Cufflinks_2.0.2/ -L WT,MUT -p 15 -c 0 --library-type=fr-unstranded <files>

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, 06:57 AM
0 responses
11 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-06-2024, 07:17 AM
0 responses
16 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-02-2024, 08:06 AM
0 responses
19 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-30-2024, 12:17 PM
0 responses
24 views
0 likes
Last Post seqadmin  
Working...
X