Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Saint-Louis
    Junior Member
    • Jan 2013
    • 4

    #1

    Assessing functional data in CummeRbund/cufflinks

    Hello,

    I am fairly new to the cummeRbund R-package and R.
    For my research I would like to focus on functional properties between my conditions. Even though cufflinks output has created a file called gene_exp_func.diff, I couldn't think of a way to a access the data through cummeRbund. EXCEL shows me that the gene_exp_func.diff has columns for KOG_class, pathway, etc..
    Is there a way to access the functional groups (KOG, pathway) and sort for KOG_group "CELLULAR PROCESSES AND SIGNALING" for example? Then I would also like to count the hit for the KOG_groups and create simple piecharts. Any suggestions, please?

    Furthermore, I was wondering if there is a recommendation or accepted procedure for averaging expression levels in such groups as above, such as all hits in a KOG_group. Is a simple average of the log2fold values acceptable or should the expression values 1 and 2 be used and log2fold be calculated?

    Thanks for your valuable suggestions.

    Saint-Louis

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, 10-22-2026, 11:13 AM
0 responses
27 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 10:48 AM
0 responses
20 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-15-2026, 10:52 AM
0 responses
36 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-14-2026, 05:39 AM
0 responses
43 views
0 reactions
Last Post SEQadmin2  
Working...