Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Deseq2

    Hello guys,

    I need to run Deseq2, but when I try to run this part of command the following error message appears.

    dds <- DESeqDataSetFromMatrix(countData = countData,
    + colData = design,
    + design = ~ condition)

    Error in DESeqDataSet(se, design = design, ignoreRank) :
    NA values are not allowed in the count matrix


    I've looked at my table but don't have NA values.
    What can I do to solve?

    thanks!

  • #2
    Well, that seems as clear an error message as can be. Since we can't see your dataset, can you verify with output from:

    any(is.na(countData))
    all(is.numeric(countData))

    Comment


    • #3
      The problem is when I put a table with 22480 genes at end Deseq2 gives me a table with 16668 genes, 5000 genes are cut.
      And when I try to run this part
      dds <- DESeqDataSetFromMatrix(countData = countData,
      colData = design,
      design = ~ condition)

      this mesage appears
      Error in DESeqDataSet(se, design = design, ignoreRank) :
      NA values are not allowed in the count matrix

      I tried your command fanli, but didn't work

      I don't know how to fix this!

      Comment


      • #4
        Originally posted by luana View Post
        The problem is when I put a table with 22480 genes at end Deseq2 gives me a table with 16668 genes, 5000 genes are cut.
        And when I try to run this part
        dds <- DESeqDataSetFromMatrix(countData = countData,
        colData = design,
        design = ~ condition)

        this mesage appears
        Error in DESeqDataSet(se, design = design, ignoreRank) :
        NA values are not allowed in the count matrix

        I tried your command fanli, but didn't work

        I don't know how to fix this!
        The error message suggests that your countData table has NA values. To confirm it, fanli has suggested to share the output of the two commands. Please share the output.
        Persistent LABS

        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
        24 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 10:19 PM
        0 responses
        25 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 09:21 AM
        0 responses
        21 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-04-2024, 09:00 AM
        0 responses
        52 views
        0 likes
        Last Post seqadmin  
        Working...
        X