Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • joseph
    Member
    • Feb 2008
    • 39

    #1

    cummeRbund csScatter() error

    Hello
    Can you please help me find out why I am getting this error? Thanks

    cuff = readCufflinks()
    > cuff
    CuffSet instance with:
    3 samples
    14017 genes
    32101 isoforms
    19668 TSS
    18380 CDS
    14017 promoters
    39336 splicing
    12808 relCDS

    The functions csVolcanoMatrix() and csDensity() work fine, but the function csScatter() gives the following error:
    Code:
    > csScatter(genes(cuff))
    Error in sqliteSendQuery(con, statement, bind.data) : 
      error in statement: near "OR": syntax error
    OR is the name of one of the 3 samples.


    > sessionInfo()
    R version 3.1.2 Patched (2015-01-19 r67548)
    Platform: x86_64-apple-darwin10.8.0 (64-bit)
    Running under: OS X 10.6.8 (Snow Leopard)

    locale:
    [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

    attached base packages:
    [1] grid stats4 parallel stats graphics grDevices utils datasets methods base

    other attached packages:
    [1] cummeRbund_2.8.2 Gviz_1.10.5 rtracklayer_1.26.2 GenomicRanges_1.18.4 GenomeInfoDb_1.2.4 IRanges_2.0.1 S4Vectors_0.4.0
    [8] fastcluster_1.1.15 reshape2_1.4.1 ggplot2_1.0.0 RSQLite_1.0.0 DBI_0.3.1 BiocGenerics_0.12.1

    loaded via a namespace (and not attached):
    [1] acepack_1.3-3.3 AnnotationDbi_1.28.1 base64enc_0.1-2 BatchJobs_1.5 BBmisc_1.8 Biobase_2.26.0
    [7] BiocParallel_1.0.0 biomaRt_2.22.0 Biostrings_2.34.1 biovizBase_1.14.1 bitops_1.0-6 brew_1.0-6
    [13] BSgenome_1.34.1 checkmate_1.5.1 cluster_1.15.3 codetools_0.2-10 colorspace_1.2-4 dichromat_2.0-0
    [19] digest_0.6.8 fail_1.2 foreach_1.4.2 foreign_0.8-62 Formula_1.2-0 GenomicAlignments_1.2.1
    [25] GenomicFeatures_1.18.3 gtable_0.1.2 Hmisc_3.14-6 iterators_1.0.7 labeling_0.3 lattice_0.20-29
    [31] latticeExtra_0.6-26 MASS_7.3-37 matrixStats_0.12.2 munsell_0.4.2 nnet_7.3-8 plyr_1.8.1
    [37] proto_0.3-10 R.methodsS3_1.6.1 RColorBrewer_1.1-2 Rcpp_0.11.3 RCurl_1.95-4.5 rpart_4.1-8
    [43] Rsamtools_1.18.2 scales_0.2.4 sendmailR_1.2-1 splines_3.1.2 stringr_0.6.2 survival_2.37-7
    [49] tools_3.1.2 VariantAnnotation_1.12.8 XML_3.98-1.1 XVector_0.6.0 zlibbioc_1.12.0
  • TiborNagy
    Senior Member
    • Mar 2010
    • 329

    #2
    Maybe your sample name is conflicted with the SQL syntax. Try to add another name for your sample.

    Comment

    • karimhasanpur@yahoo.com
      Junior Member
      • Nov 2013
      • 4

      #3
      cs.scattermatrix error

      Originally posted by joseph View Post
      Hello
      Can you please help me find out why I am getting this error? Thanks

      cuff = readCufflinks()
      > cuff
      CuffSet instance with:
      3 samples
      14017 genes
      32101 isoforms
      19668 TSS
      18380 CDS
      14017 promoters
      39336 splicing
      12808 relCDS

      The functions csVolcanoMatrix() and csDensity() work fine, but the function csScatter() gives the following error:
      Code:
      > csScatter(genes(cuff))
      Error in sqliteSendQuery(con, statement, bind.data) : 
        error in statement: near "OR": syntax error
      OR is the name of one of the 3 samples.


      > sessionInfo()
      R version 3.1.2 Patched (2015-01-19 r67548)
      Platform: x86_64-apple-darwin10.8.0 (64-bit)
      Running under: OS X 10.6.8 (Snow Leopard)

      locale:
      [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

      attached base packages:
      [1] grid stats4 parallel stats graphics grDevices utils datasets methods base

      other attached packages:
      [1] cummeRbund_2.8.2 Gviz_1.10.5 rtracklayer_1.26.2 GenomicRanges_1.18.4 GenomeInfoDb_1.2.4 IRanges_2.0.1 S4Vectors_0.4.0
      [8] fastcluster_1.1.15 reshape2_1.4.1 ggplot2_1.0.0 RSQLite_1.0.0 DBI_0.3.1 BiocGenerics_0.12.1

      loaded via a namespace (and not attached):
      [1] acepack_1.3-3.3 AnnotationDbi_1.28.1 base64enc_0.1-2 BatchJobs_1.5 BBmisc_1.8 Biobase_2.26.0
      [7] BiocParallel_1.0.0 biomaRt_2.22.0 Biostrings_2.34.1 biovizBase_1.14.1 bitops_1.0-6 brew_1.0-6
      [13] BSgenome_1.34.1 checkmate_1.5.1 cluster_1.15.3 codetools_0.2-10 colorspace_1.2-4 dichromat_2.0-0
      [19] digest_0.6.8 fail_1.2 foreach_1.4.2 foreign_0.8-62 Formula_1.2-0 GenomicAlignments_1.2.1
      [25] GenomicFeatures_1.18.3 gtable_0.1.2 Hmisc_3.14-6 iterators_1.0.7 labeling_0.3 lattice_0.20-29
      [31] latticeExtra_0.6-26 MASS_7.3-37 matrixStats_0.12.2 munsell_0.4.2 nnet_7.3-8 plyr_1.8.1
      [37] proto_0.3-10 R.methodsS3_1.6.1 RColorBrewer_1.1-2 Rcpp_0.11.3 RCurl_1.95-4.5 rpart_4.1-8
      [43] Rsamtools_1.18.2 scales_0.2.4 sendmailR_1.2-1 splines_3.1.2 stringr_0.6.2 survival_2.37-7
      [49] tools_3.1.2 VariantAnnotation_1.12.8 XML_3.98-1.1 XVector_0.6.0 zlibbioc_1.12.0
      Dear Jozeph,

      I am now encountered with the same error as you were. Did you find a way to solve your problem? I would be so grateful if you share that with me.

      Thanks in advance'
      Karim

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        07-31-2026, 11:01 AM
      • SEQadmin2
        Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
        by SEQadmin2


        Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 08-06-2026, 07:41 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      37 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      43 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      26 views
      0 reactions
      Last Post SEQadmin2  
      Working...