Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • IsBeth
    Member
    • Nov 2013
    • 28

    DESeq2 for R-version 3.1?

    Hello,

    I've updated my version of R today from 3.0.2 to 3.1. Now when I'm trying to install DESeq2, I get a warning message like this:

    Warning in install.packages :
    package ‘DESeq2’ is not available (for R version 3.1.0 RC)

    A similar problem appears with package TCC. Can I do something about that or do I have to wait? There's also a problem with installing lattice and spatial, because these directories are not writable now (I'm using Ubuntu)

    Thanks
    Beth
  • Michael Love
    Senior Member
    • Jul 2013
    • 333

    #2
    DESeq2 is a Bioconductor package
    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists.


    (ok I see you already knew that...)

    yes I believe you have to wait a week for the next release of Bioc.

    there is information here on the timing of the Bioc 2.14 release with R 3.1

    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists.
    Last edited by Michael Love; 04-05-2014, 05:46 AM.

    Comment

    • IsBeth
      Member
      • Nov 2013
      • 28

      #3
      Thank you! I think I will have to wait a few days then, but no problem ^^

      Comment

      Latest Articles

      Collapse

      • 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
      • 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...
        07-08-2026, 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 10:26 AM
      0 responses
      15 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      29 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      33 views
      0 reactions
      Last Post SEQadmin2  
      Working...