Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Hi all,
    I am very new to r & DEseq2 but have been following the excellent vignette. I have encountered a problem though. I can create the object rld as per the command in the vignette, but when I try to run PCA as suggested I repeatedly encounter the following error:

    plotPCA(rld, intgroup=c("Fibrosis", "Sample.ID"))

    Error in (function (classes, fdef, mtable) :
    unable to find an inherited method for function ‘plotPCA’ for signature ‘"SummarizedExperiment"’
    I have also tried:
    plotPCA( DESeqTransform(rld ) )
    and get the following:
    Error in plotPCA(DESeqTransform(rld)) :
    error in evaluating the argument 'x' in selecting a method for function 'plotPCA': Error: could not find function "DESeqTransform"
    Can anyone advise?
    Caitriona

    Comment


    • How did you make "rld" and what version of DESeq2 are you using?

      Comment


      • Thanks for replying. I am using DESeq2 1.6.3.
        First I made dds:
        dds <- DESeqDataSetFromMatrix(countData = countData,
        colData = colData,
        design = ~ Organ + Fibrosis)
        then:
        rld = rlog (dds)
        I went on to examine rld using: head(assay(rld)), and it is listed in my environment as a large SummarisedExperiment.
        Caitriona

        Comment


        • hi Caitriona

          It looks like you have a mix of out-of-date and new packages. These often generate conflicts. This can occur if you install Bioconductor packages using install.packages() rather than with biocLite().

          Try this:

          source("http://bioconductor.org/biocLite.R")
          biocValid()

          Comment


          • Hi Michael, Thank you for your reply. I installed packages as suggested, and it's working. Thanks! Caitriona

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Current Approaches to Protein Sequencing
              by seqadmin


              Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
              04-04-2024, 04:25 PM
            • seqadmin
              Strategies for Sequencing Challenging Samples
              by seqadmin


              Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
              03-22-2024, 06:39 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, 04-11-2024, 12:08 PM
            0 responses
            18 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-10-2024, 10:19 PM
            0 responses
            22 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-10-2024, 09:21 AM
            0 responses
            16 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-04-2024, 09:00 AM
            0 responses
            47 views
            0 likes
            Last Post seqadmin  
            Working...
            X