Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Carmen
    Member
    • Aug 2012
    • 10

    DESeq error

    Hi,
    I am trying to analyze my RNA-seq data with DESeq
    my count_table appear as follow

    C1_count C2_count C3_count T1_count T2_count T3_count
    1 fdoG 1898 2819 2159 2713 3388 3273
    2 fdoH 364 596 470 552 667 643
    3 fdoI 163 257 215 237 302 273
    4 fdhE 324 537 442 406 596 607
    5 selA 289 587 551 553 639 618
    6 SMa0013 119 256 221 238 302 251


    when I try

    >cds <- newCountDataSet(count_table, conds)

    I get the following error message:
    Error in round(countData) : Non-numeric argument to mathematical function

    Does anyone help me?

    Thanks
    Carmen
  • chadn737
    Senior Member
    • Jan 2009
    • 392

    #2
    It looks like how your counts table is set up, that your gene names are being seen as a column of read counts. Since these are characters, not numbers, DESeq doesn't know how to use them. You need to make those gene names the row names in R.

    Comment

    • Carmen
      Member
      • Aug 2012
      • 10

      #3
      OK,
      I will try

      Thanks
      Crm

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        Today, 05:17 AM
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM
      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

        Here are nine questions we think about, in roughly the order they matter, before...
        06-18-2026, 07:11 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 11:05 AM
      0 responses
      7 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      29 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-30-2026, 05:37 AM
      0 responses
      28 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      27 views
      0 reactions
      Last Post SEQadmin2  
      Working...