Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • sjeschonek
    Junior Member
    • Feb 2014
    • 9

    #1

    Trouble with EdgeR DE (in Trinity)

    Hello everyone, I am very new to RNA-seq and trinity and command line, please bear with me!

    I have successfully assembled my runs and am now trying to perform a differential expression between two samples using the edgeR method (described in the trinity manual). However, I keep erroring, and could use some insight on how to fix it.

    Code:
    [sjeschon@login001 ~]$ /gpfs/runtime/opt/trinity/2013-08-14/Analysis/DifferentialExpression/run_DE_analysis.pl --matrix /gpfs/data/kmowry/sjescho                n/RNASeqResults/2transcripts.counts.matrix --method edgeR --output /gpfs/data/kmowry/sjeschon/RNASeqResults/edger0
    Got 2 samples, and got: 3 data fields.
    Header: assembly_trinity_15443687.isoforms.results      assembly_trinity_17707296.isoforms.results
    Next: agalma/gene:21261.0/isoform:4     489.05  NA
    
    $VAR1 = {
              'assembly_trinity_17707296' => 2,
              'assembly_trinity_15443687' => 1
            };
    $VAR1 = {
              'assembly_trinity_17707296' => [
                                               'assembly_trinity_17707296'
                                             ],
              'assembly_trinity_15443687' => [
                                               'assembly_trinity_15443687'
                                             ]
            };
    Samples to compare: $VAR1 = [
              'assembly_trinity_17707296',
              'assembly_trinity_15443687'
            ];
    
    CMD: R --vanilla -q < 2transcripts.counts.matrix.assembly_trinity_15443687_vs_assembly_trinity_17707296.assembly_trinity_15443687.vs.assembly_tri                nity_17707296.EdgeR.Rscript
    > library(edgeR)
    Loading required package: limma
    >
    > data = read.table("/gpfs/data/kmowry/sjeschon/RNASeqResults/2transcripts.counts.matrix", header=T, row.names=1, com='')
    > col_ordering = c(1,2)
    > rnaseqMatrix = data[,col_ordering]
    > rnaseqMatrix = round(rnaseqMatrix)
    > rnaseqMatrix = rnaseqMatrix[rowSums(rnaseqMatrix)>=10,]
    > conditions = factor(c(rep("assembly_trinity_15443687", 1), rep("assembly_trinity_17707296", 1)))
    >
    > exp_study = DGEList(counts=rnaseqMatrix, group=conditions)
    > exp_study = calcNormFactors(exp_study)
    Error in if (any(allzero)) x <- x[!allzero, , drop = FALSE] :
      missing value where TRUE/FALSE needed
    Calls: calcNormFactors
    Execution halted
    Error, cmd: R --vanilla -q < 2transcripts.counts.matrix.assembly_trinity_15443687_vs_assembly_trinity_17707296.assembly_trinity_15443687.vs.assem                bly_trinity_17707296.EdgeR.Rscript died with ret (256)  at /gpfs/runtime/opt/trinity/2013-08-14/Analysis/DifferentialExpression/run_DE_analysis.p                l line 439.
    
    
    
    
    WARNING: This EdgeR comparison failed...
    Any help would be greatly appreciated!
  • sjeschonek
    Junior Member
    • Feb 2014
    • 9

    #2
    Not sure if the error is due to the NA in the table?

    Error in if (any(allzero)) x <- x[!allzero, , drop = FALSE] :
    missing value where TRUE/FALSE needed

    Comment

    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...