Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • drdna
    Member
    • May 2012
    • 76

    #1

    Error in DESeq code

    I've been having a lot of problems trying to tell DESeq which samples to analyze in a CountTable. My metadata table looks like this:

    condition libType
    PK01 col single-end
    PK02 col single-end
    PK07 ctrlc single-end
    PK08 ctrln single-end
    PK10 nho single-end
    PK13 col single-end
    PK15 nho single-end
    PK16 nho single-end

    and I'm trying to tell DESeq to compare the three "col" datasets with the "ctrlc" set. The error comes when I try to define the newCountDataSet at the start of the analysis:

    > condition = factor( c( "col", "col", "ctrlc" "col"))
    > library ("DESeq")
    > cds = newCountDataSet( countTable, condition)
    Error: length(conditions) == ncol(countData) is not TRUE

    problem is there is no "conditions" variable as I can tell, only "condition"
    I checked the lengths of these variables:
    > length(conditions)
    [1] 1
    > length(condition)
    [1] 4 -> what I expected

    I suspect that "conditions" is an error in the code.

    Also, I was unable to find the value for ncol( countTable )

    > ncol(countData)
    Error in ncol(countData) :
    error in evaluating the argument 'x' in selecting a method for function 'ncol': Error: object 'countData' not found

    Anyone have any idea what is causing this error? Better still how does one tell the program to analyze a subset of data in a larger table?
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    You're getting an error because you're trying to assign a condition vector with only 4 elements to count data with 8 (that's what the first error message is trying to say). I'm not surprised that R is getting confused, since it has no way to know exactly what you actually want it to do! Try to subset your data (countTable) first, that'll probably solve your problem.

    Alternatively, assign the full list of conditions and just use the appropriate contrasts (given the condition names, I expect just looking at the subset makes more sense).

    Comment

    • Wolfgang Huber
      Senior Member
      • Aug 2009
      • 109

      #3
      Dear Drdna,

      have a look at the "An Introduction to R" on http://cran.r-project.org/manuals.html which is a very useful introduction to the R language.

      Best wishes
      Wolfgang
      Wolfgang Huber
      EMBL

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        Yesterday, 11:01 AM
      • SEQadmin2
        Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
        by SEQadmin2


        Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 AM
      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        07-09-2026, 11:10 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 02:55 AM
      0 responses
      9 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-23-2026, 11:41 AM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-20-2026, 11:10 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Working...