Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • icanwinwyz
    Junior Member
    • Feb 2016
    • 8

    HELP!!DEXseq error from DEXSeqResults

    Hi,
    I am using DEXSeq to do alternative splicing analysis. But when I use the test data from DEXSeq's package, I even got an error from the function "DEXSeqResults". I have no idea why this error occurs. Could anyone help me?

    The code I used is shown below:

    > library(DEXSeq)
    > data(pasillaDEXSeqDataSet, package="pasilla")
    > dxd <- estimateSizeFactors( dxd )
    > dxd <- estimateDispersions( dxd )
    using supplied model matrix
    using supplied model matrix
    > dxd <- testForDEU( dxd )
    using supplied model matrix
    > dxr <- DEXSeqResults( dxd )
    Error in (function (cl, name, valueClass) :
    assignment of an object of class “NULL” is not valid for @‘elementMetadata’ in an object of class “GRanges”; is(value, "DataFrame") is not TRUE
    >
  • blancha
    Senior Member
    • May 2013
    • 367

    #2
    The first step when a bug is encountered is always to update to the latest version of the program available, before reporting the bug.

    Check your version of DEXSeq.
    If it's not 1.16.8, start by updating DEXSeq first.
    Unfortunately, that may involve updating R and Bioconductor.

    Code:
    packageVersion("DEXSeq")
    The second step when reporting a bug in R, is posting your session info, with the bug.

    Code:
    sessionInfo()
    Incidentally, your code works fine for me with DEXSeq 1.16.8.

    Comment

    • icanwinwyz
      Junior Member
      • Feb 2016
      • 8

      #3
      Originally posted by blancha View Post
      The first step when a bug is encountered is always to update to the latest version of the program available, before reporting the bug.

      Check your version of DEXSeq.
      If it's not 1.16.8, start by updating DEXSeq first.
      Unfortunately, that may involve updating R and Bioconductor.

      Code:
      packageVersion("DEXSeq")
      The second step when reporting a bug in R, is posting your session info, with the bug.

      Code:
      sessionInfo()
      Incidentally, your code works fine for me with DEXSeq 1.16.8.
      Hi blancha,
      Thanks for your reply. Yes, I indeed checked the version of DEXseq and R. Everything is up-to-date shown below:

      > version
      ......
      major 3
      minor 2.3
      year 2015
      month 12
      day 10
      svn rev 69752
      language R
      version.string R version 3.2.3 (2015-12-10)


      > packageVersion("DEXSeq")
      [1] ‘1.16.8’

      I searched online and didn't find the solution to this problem. You have some other ideas? Thanks!

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        You presumably have an outdated dependency. What you tried works for me without an error. My setup is below:
        Code:
        > sessionInfo()
        R version 3.2.3 (2015-12-10)
        Platform: x86_64-pc-linux-gnu (64-bit)
        Running under: Ubuntu 15.10
        
        locale:
         [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
         [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
         [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
         [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
         [9] LC_ADDRESS=C               LC_TELEPHONE=C            
        [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
        
        attached base packages:
        [1] stats4    parallel  stats     graphics  grDevices utils     datasets 
        [8] methods   base     
        
        other attached packages:
         [1] DEXSeq_1.16.8              DESeq2_1.10.1             
         [3] RcppArmadillo_0.6.500.4.0  Rcpp_0.12.3               
         [5] SummarizedExperiment_1.0.2 GenomicRanges_1.22.4      
         [7] GenomeInfoDb_1.6.3         IRanges_2.4.6             
         [9] S4Vectors_0.8.11           Biobase_2.30.0            
        [11] BiocGenerics_0.16.1        BiocParallel_1.4.3        
        [13] BiocInstaller_1.20.1      
        
        
        loaded via a namespace (and not attached):
         [1] RColorBrewer_1.1-2   futile.logger_1.4.1  plyr_1.8.3          
         [4] XVector_0.10.0       bitops_1.0-6         futile.options_1.0.0
         [7] tools_3.2.3          zlibbioc_1.16.0      biomaRt_2.26.1      
        [10] statmod_1.4.24       rpart_4.1-10         RSQLite_1.0.0       
        [13] annotate_1.48.0      gtable_0.1.2         lattice_0.20-33     
        [16] DBI_0.3.1            gridExtra_2.0.0      stringr_1.0.0       
        [19] hwriter_1.3.2        genefilter_1.52.1    cluster_2.0.3       
        [22] Biostrings_2.38.3    locfit_1.5-9.1       grid_3.2.3          
        [25] nnet_7.3-12          AnnotationDbi_1.32.3 XML_3.98-1.3        
        [28] survival_2.38-3      foreign_0.8-66       latticeExtra_0.6-26 
        [31] Formula_1.2-1        magrittr_1.5         geneplotter_1.48.0  
        [34] ggplot2_2.0.0        lambda.r_1.1.7       Rsamtools_1.22.0    
        [37] Hmisc_3.17-1         scales_0.3.0         splines_3.2.3       
        [40] xtable_1.8-2         colorspace_1.2-6     stringi_1.0-1       
        [43] acepack_1.3-3.3      RCurl_1.95-4.7       munsell_0.4.2

        Comment

        • blancha
          Senior Member
          • May 2013
          • 367

          #5
          I agree with dpryan.
          sessionInfo() will give more details about the attached packages.
          Check which packages differ from our setup.
          Perhaps you just need to update GenomicRanges.
          In the worse case scenario, you can just update everything or reinstall everything.
          The code works fine for me.

          Code:
          > library(DEXSeq)
          > data(pasillaDEXSeqDataSet, package="pasilla")
          > dxd <- estimateSizeFactors( dxd )
          > dxd <- estimateDispersions( dxd )
          using supplied model matrix
          using supplied model matrix
          > dxd <- testForDEU( dxd )
          using supplied model matrix
          > dxr <- DEXSeqResults( dxd )
          > sessionInfo()
          R version 3.2.1 (2015-06-18)
          Platform: x86_64-unknown-linux-gnu (64-bit)
          Running under: CentOS release 6.6 (Final)
          
          locale:
           [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
           [3] LC_TIME=en_CA.UTF-8        LC_COLLATE=en_CA.UTF-8    
           [5] LC_MONETARY=en_CA.UTF-8    LC_MESSAGES=en_CA.UTF-8   
           [7] LC_PAPER=en_CA.UTF-8       LC_NAME=C                 
           [9] LC_ADDRESS=C               LC_TELEPHONE=C            
          [11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C       
          
          attached base packages:
          [1] stats4    parallel  stats     graphics  grDevices utils     datasets 
          [8] methods   base     
          
          other attached packages:
           [1] DEXSeq_1.16.7              DESeq2_1.10.1             
           [3] RcppArmadillo_0.6.400.2.2  Rcpp_0.12.3               
           [5] SummarizedExperiment_1.0.2 GenomicRanges_1.22.3      
           [7] GenomeInfoDb_1.6.1         IRanges_2.4.6             
           [9] S4Vectors_0.8.7            Biobase_2.30.0            
          [11] BiocGenerics_0.16.1        BiocParallel_1.4.3        
          [13] nvimcom_0.9-8             
          
          loaded via a namespace (and not attached):
           [1] RColorBrewer_1.1-2   futile.logger_1.4.1  plyr_1.8.3          
           [4] XVector_0.10.0       bitops_1.0-6         futile.options_1.0.0
           [7] tools_3.2.1          zlibbioc_1.16.0      biomaRt_2.26.1      
          [10] statmod_1.4.23       rpart_4.1-10         RSQLite_1.0.0       
          [13] annotate_1.48.0      gtable_0.1.2         lattice_0.20-33     
          [16] DBI_0.3.1            gridExtra_2.0.0      stringr_1.0.0       
          [19] hwriter_1.3.2        genefilter_1.52.0    cluster_2.0.3       
          [22] Biostrings_2.38.3    locfit_1.5-9.1       grid_3.2.1          
          [25] nnet_7.3-11          AnnotationDbi_1.32.3 XML_3.98-1.3        
          [28] survival_2.38-3      foreign_0.8-66       latticeExtra_0.6-26 
          [31] Formula_1.2-1        magrittr_1.5         geneplotter_1.48.0  
          [34] ggplot2_2.0.0        lambda.r_1.1.7       Rsamtools_1.22.0    
          [37] Hmisc_3.17-1         scales_0.3.0         splines_3.2.1       
          [40] xtable_1.8-0         colorspace_1.2-6     stringi_1.0-1       
          [43] acepack_1.3-3.3      RCurl_1.95-4.7       munsell_0.4.2

          Comment

          Latest Articles

          Collapse

          • 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
          • SEQadmin2
            From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
            by SEQadmin2


            Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


            The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
            ...
            06-02-2026, 10:05 AM
          • SEQadmin2
            Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
            by SEQadmin2


            With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


            Introduction

            Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
            05-22-2026, 06:42 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 06-17-2026, 06:09 AM
          0 responses
          24 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-09-2026, 11:58 AM
          0 responses
          41 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-05-2026, 10:09 AM
          0 responses
          48 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-04-2026, 08:59 AM
          0 responses
          49 views
          0 reactions
          Last Post SEQadmin2  
          Working...