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
          Recent Advances in Sequencing Analysis Tools
          by seqadmin


          The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
          Today, 07:48 AM
        • seqadmin
          Essential Discoveries and Tools in Epitranscriptomics
          by seqadmin




          The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
          04-22-2024, 07:01 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, Today, 07:17 AM
        0 responses
        7 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 05-02-2024, 08:06 AM
        0 responses
        19 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-30-2024, 12:17 PM
        0 responses
        20 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-29-2024, 10:49 AM
        0 responses
        28 views
        0 likes
        Last Post seqadmin  
        Working...
        X