Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • croshong
    Junior Member
    • Jul 2012
    • 2

    #1

    Error in ExomeCNV running

    Hi all

    I want to use ExomeCNV to call CNV from my NGS result


    But when I try I got this kind of error

    > library(ExomeCNV)
    Loading required package: DNAcopy
    > chr.list=paste("chr",c("1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","X","Y"),sep="")
    > normal_set1 = read.coverage.gatk("test_res1/set1_d/coverage/1532SD.REF_Y.sample_interval_summary")
    > tumor_set1 = read.coverage.gatk("test_res1/set1_d/coverage/1768.REF_Y.sample_interval_summary")
    > logR_set1 = calculate.logR(normal_set1,tumor_set1)
    > eCNV_set1 = c()
    > for (i in 1:length(chr.list)) {
    + idx = (normal_set1$chr = chr.list[i])
    + ecnv = classify.eCNV(normal=normal_set1[idx,], tumor=tumor_set1[idx,], logR=logR_set1[idx], min.spec=0.9999, min.sens=0.9999, option="spec", c=0.5, l=70)
    + eCNV_set1 = rbind(eCNV_set1,ecnv)
    + }
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    [1] "analyzing eCNV with min.spec 0.9999 and min.sens 0.9999 and option to maximize spec"
    > cnv_set1 = multi.CNV.analyze(normal_set1, tumor_set1, logR=logR_set1, all.cnv.ls=list(eCNV_set1), coverage.cutoff=5, min.spec=0.99, min.sens=0.99, option="auc", c=0.5)
    Error in sort(abs(diff(genomdat)))[1:n.keep] :
    only 0's may be mixed with negative subscripts
    Calls: multi.CNV.analyze -> CNV.analyze -> smooth.CNA -> trimmed.variance
    In addition: Warning message:
    In CNA(norm.log.ratio[well.covered.exon.idx], strip.chr.name(normal$chr[well.covered.exon.idx]), :
    markers with missing chrom and/or maploc removed

    Execution halted

    The example data in tutorial works well

    So, It seems that my data has a problem, But I couldn't find what's wrong

    Any kind of advice would be welcome

    Thanks

Latest Articles

Collapse

  • kinpict.com
    Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
    by kinpict.com
    The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
    Today, 06:37 PM
  • SEQadmin2
    16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
    by SEQadmin2





    NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
    10-30-2026, 06:46 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 11-12-2026, 07:59 AM
0 responses
27 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 11-05-2026, 09:25 AM
0 responses
35 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 11-03-2026, 11:54 AM
2 responses
56 views
0 reactions
Last Post kinpict.com  
Started by SEQadmin2, 10-28-2026, 09:57 AM
0 responses
175 views
0 reactions
Last Post SEQadmin2  
Working...