Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Zapages
    Member
    • Oct 2012
    • 98

    #1

    CummeRbund Help

    Hi Everyone,

    I have small question regarding CummeRbund. Currently, I am getting familiarized with R. Its a very interesting language. Its like an hybrid of Dos and Unix commands from looking at the changing directories and all. All joking aside.

    I have taken a look at the gene_exp.diff file and I see that the genes that I am interested are significantly different in expression. The file was viewed through excel.

    So the next step I did was download the whole cuffdiff_out folder onto my computer.

    I set the folder to cufddif_out folder in R and then ran cummeRbund.

    My goal is to show in a nice graphical manner through cummeRbund that these genes of interest (There are about 6 genes) are highly or not being expressed between the two organs. I was thinking of showing a heat map or something along those lines. I am open to any other method as well.

    I have followed the cummeRbund manual to no avail.

    My Cuff looks like:

    Code:
    CuffSet instance with:
     2 samples
     23228 genes
     27180 isoforms
     26643 TSS
     0 CDS
     22615 promoters
     26643 splicing
     0 relCDS
    When I try to look for overall quality:

    I get the following errors:

    Code:
    disp<-dispersionPlot(genes(cuff))
    Error in sqliteExecStatement(con, statement, bind.data) : 
    RS-DBI driver: (error in statement: no such table: geneCount)
    When I try to do Step 5: Exploring the data at the gene level on the iPlant's cummeRbund guide. I get errors as well on step 5.3 on doing the sigGenes portion.

    Code:
    sigGenes <- getGenes(cuff,sig)
    Error in sqliteExecStatement(conn, statement, ...) : 
    RS-DBI driver: (RS_SQLite_exec: could not execute1: cannot start a transaction within a transaction)
    This tutorial shows for different gene expression, but is there a method to specify what genes in cummerbund?

    I found someone who is wanted to do exactly what I am hoping to do. I tried the solution stated in thier question. Unfortunately, it did not work. I was trying this through Atmosphere - RNA-Seq Visualization Instance.

    Code solution from: http://www.biostars.org/p/49966/

    I got the following error:

    Code:
    myGenes<-getGenes(cuff,MyGeneIds)
    Getting gene information:
        FPKM
        Differential Expression Data
        Annotation Data
        Replicate FPKMs
    Error in sqliteExecStatement(con, statement, bind.data) : 
    RS-DBI driver: (error in statement: no such table: geneReplicateData)
    I tired again on my MacBook Pro with R... I have received this error with different experiment set with 4 samples this time around. I am still having no luck with this.

    I used Cufflinks 2.0.2, Cuffmerge2 2.0.2 and Cuffdiff2 2.0.2 to generate the data files. The gene ids are being protected here for research purposes, but the idea is there.

    Code:
    myGeneIds <- c("gene1","gene2","gene3","gene4","gene5")
    > myGenes <- getGenes(cuff,myGeneIds)
    Getting gene information:
    FPKM
    Differential Expression Data
    Annotation Data
    Replicate FPKMs
    Error in sqliteExecStatement(con, statement, bind.data) : 
      RS-DBI driver: (error in statement: no such table: geneReplicateData)
    This is the tutorial: https://insilicodb.org/differential-...ng-cummerbund/

    I have been following these tutorials: https://pods.iplantcollaborative.org...A-Seq_tutorial and the CummeRbund manual: http://bioconductor.org/packages/2.1...und-manual.pdf

    I would really appreciate any help regarding this. Thank you in advance.

    EDIT: Figured it out: I had to rebuild the database file

    Code:
    cuff<-readCufflinks(rebuild=T)
    Last edited by Zapages; 01-21-2014, 08:40 PM.

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, Yesterday, 11:13 AM
0 responses
19 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, Yesterday, 10:48 AM
0 responses
18 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
42 views
0 reactions
Last Post SEQadmin2  
Working...