Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • shengzizhang
    Junior Member
    • Jan 2013
    • 1

    cummeRbund 'features' error

    Hi, when i used CummeRbund to analyze the results of cullmerge output, i successfully built the database with command cuff_data<- readCufflinks(genome='pig',gtfFile='../merged_asm/merged.gtf'). Everything ran well except two errors:
    1). fpkmSCVPlot error:
    > genes.scv<-fpkmSCVPlot(genes(cuff_data))
    Scale for 'x' is already present. Adding another scale for 'x', which will replace the existing scale.
    2). gene feature error:
    >myGeneIds<-c('XLOC_000262')
    >myGene<-getGenes(cuff_data,myGeneIds)
    > myGene
    CuffGeneSet instance for 1 genes

    Slots:
    annotation
    fpkm
    repFpkm
    diff
    count
    isoforms CuffFeatureSet instance of size 2
    TSS CuffFeatureSet instance of size 2
    CDS CuffFeatureSet instance of size 1
    promoters CuffFeatureSet instance of size 1
    splicing CuffFeatureSet instance of size 2
    relCDS CuffFeatureSet instance of size 1

    >head(features(myGene))> head(features(myGene))
    Error in head(features(myGene)) :
    error in evaluating the argument 'x' in selecting a method for function 'head': Error in function (classes, fdef, mtable) :
    unable to find an inherited method for function ‘features’ for signature ‘"CuffGeneSet"’

    Does anyone would like to help?
  • apadr007
    Member
    • Oct 2011
    • 21

    #2
    same

    I'm having the same problem

    > head(fpkm(myGenes))
    Error in head(fpkm(myGenes)) :
    error in evaluating the argument 'x' in selecting a method for function 'head': Error in myFPKM$conf_hi - myFPKM$fpkm :
    non-numeric argument to binary operator


    Anyone have an idea?

    Comment

    • moredd
      Junior Member
      • May 2013
      • 8

      #3
      I also had the error #1 in CummeRbund, although for all other graphs it worked well...
      I've tried a lot of possibilities, as genes.scv<-fpkmSCVPlot(genes(cuff),c(1)) (and variations like c(2), c(10), etc)

      Moreover, I tried
      > genes.scv<-fpkmSCVPlot(genes(cuff_data))
      Scale for 'x' is already present. Adding another scale for 'x', which will replace the existing scale.
      >c(1)
      >[1] 1
      >1
      Then > [1] 1 appears again....

      Anyone could help?
      Last edited by moredd; 12-04-2013, 06:54 AM.

      Comment

      Latest Articles

      Collapse

      • 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.
        Today, 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
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 05:37 AM
      0 responses
      9 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      18 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      52 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-09-2026, 11:58 AM
      0 responses
      110 views
      0 reactions
      Last Post SEQadmin2  
      Working...