Daoud Sie
| Snapshot Date: 2020-01-15 16:46:30 -0500 (Wed, 15 Jan 2020) |
| URL: https://git.bioconductor.org/packages/QDNAseq |
| Branch: master |
| Last Commit: d0d6442 |
| Last Changed Date: 2019-10-29 13:37:19 -0500 (Tue, 29 Oct 2019) |
| Back to Multiple platform build/check report for BioC 3.11 |
|
This page was generated on 2020-01-16 13:38:35 -0500 (Thu, 16 Jan 2020).
| Package 1337/1818 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
| QDNAseq 1.23.0 Daoud Sie
| malbec2 | Linux (Ubuntu 18.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||
| tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | ERROR | OK | |||||||
| celaya2 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | [ OK ] | OK | |
| Package: QDNAseq |
| Version: 1.23.0 |
| Command: /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings QDNAseq_1.23.0.tar.gz |
| StartedAt: 2020-01-16 07:49:49 -0500 (Thu, 16 Jan 2020) |
| EndedAt: 2020-01-16 07:56:06 -0500 (Thu, 16 Jan 2020) |
| EllapsedTime: 377.6 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: QDNAseq.Rcheck |
| Warnings: 0 |
##############################################################################
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###
### Running command:
###
### /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings QDNAseq_1.23.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/Users/biocbuild/bbs-3.11-bioc/meat/QDNAseq.Rcheck’
* using R Under development (unstable) (2019-12-14 r77572)
* using platform: x86_64-apple-darwin15.6.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘QDNAseq/DESCRIPTION’ ... OK
* this is package ‘QDNAseq’ version ‘1.23.0’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘QDNAseq’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... NOTE
Namespace in Imports field not imported from: ‘future’
All declared Imports should be used.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
callBins 20.641 0.699 21.340
frequencyPlot 20.696 0.629 21.327
normalizeSegmentedBins 6.434 0.257 6.690
segmentBins 5.900 0.204 6.105
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘QDNAseq,reproducibility.R’
Running ‘QDNAseq.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 1 NOTE
See
‘/Users/biocbuild/bbs-3.11-bioc/meat/QDNAseq.Rcheck/00check.log’
for details.
QDNAseq.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD INSTALL QDNAseq ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.0/Resources/library’ * installing *source* package ‘QDNAseq’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (QDNAseq)
QDNAseq.Rcheck/tests/QDNAseq,reproducibility.Rout
R Under development (unstable) (2019-12-14 r77572) -- "Unsuffered Consequences"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> ######################################################################
> # This scripts asserts that for each processing step of QDNAseq
> # the output/results are reproducible (numerically equal).
> ######################################################################
> library("QDNAseq")
> options("QDNAseq::verbose"=FALSE)
>
> # Load data
> data(LGG150)
> data <- LGG150
>
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # TRUTH
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # Filter out "bad" bins
> dataF <- applyFilters(data, residual=TRUE, blacklist=TRUE)
>
> # Correct read counts as a function of GC content and mappability
> dataC <- correctBins(dataF)
>
> # Normalize binned read counts to have diploid normal copy number
> dataN <- normalizeBins(dataC)
>
> # Segment copy numbers
> fit <- segmentBins(dataN)
>
> # Call copy-number segments
> fitC <- callBins(fit)
There were 50 or more warnings (use warnings() to see the first 50)
>
>
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # REPRODUCIBILITY
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> strategies <- c("sequential", "multiprocess")
> if (future::supportsMulticore()) strategies <- c(strategies, "multicore")
>
> oplan <- future::plan("list")
> for (strategy in strategies) {
+ message(sprintf("Reproducibility with plan(\"%s\") ...", strategy))
+
+ future::plan(strategy)
+
+ dataFr <- applyFilters(data, residual=TRUE, blacklist=TRUE)
+ stopifnot(all.equal(dataFr, dataF))
+
+ dataCr <- correctBins(dataF)
+ stopifnot(all.equal(dataCr, dataC))
+
+ dataNr <- normalizeBins(dataC)
+ stopifnot(all.equal(dataNr, dataN))
+
+ fitr <- segmentBins(dataNr)
+ stopifnot(all.equal(fitr, fit))
+
+ fitCr <- callBins(fitr)
+ stopifnot(all.equal(fitCr, fitC))
+
+ message(sprintf("Reproducibility with plan(\"%s\") ... done", strategy))
+ }
Reproducibility with plan("sequential") ...
Reproducibility with plan("sequential") ... done
Reproducibility with plan("multiprocess") ...
Reproducibility with plan("multiprocess") ... done
Reproducibility with plan("multicore") ...
Reproducibility with plan("multicore") ... done
There were 50 or more warnings (use warnings() to see the first 50)
>
> future::plan(oplan)
>
> proc.time()
user system elapsed
84.731 4.846 90.522
QDNAseq.Rcheck/tests/QDNAseq.Rout
R Under development (unstable) (2019-12-14 r77572) -- "Unsuffered Consequences"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library("QDNAseq")
>
> # Load data
> data(LGG150)
> data <- LGG150
> print(data)
QDNAseqReadCounts (storageMode: lockedEnvironment)
assayData: 38819 features, 1 samples
element names: counts
protocolData: none
phenoData
sampleNames: LGG150
varLabels: name reads used.reads expected.variance
varMetadata: labelDescription
featureData
featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747
(38819 total)
fvarLabels: chromosome start ... use (9 total)
fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:
> stopifnot(inherits(data, "QDNAseqReadCounts"))
>
> # Plot isobars of read counts
> isobarPlot(data)
Plotting sample LGG150 median read counts
>
> # Plot copy number profile
> plot(data, ylim=c(-100, 200))
Plotting sample LGG150 (1 of 1) ...
> highlightFilters(data, residual=TRUE, blacklist=TRUE)
Highlighted 3,375 bins.
>
> # Filter out "bad" bins
> dataF <- applyFilters(data, residual=TRUE, blacklist=TRUE)
38,819 total bins
38,819 of which in selected chromosomes
36,722 of which with reference sequence
33,347 final bins
> print(dataF)
QDNAseqReadCounts (storageMode: lockedEnvironment)
assayData: 38819 features, 1 samples
element names: counts
protocolData: none
phenoData
sampleNames: LGG150
varLabels: name reads used.reads expected.variance
varMetadata: labelDescription
featureData
featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747
(38819 total)
fvarLabels: chromosome start ... use (9 total)
fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:
> plot(dataF, ylim=c(-100, 200))
Plotting sample LGG150 (1 of 1) ...
> stopifnot(inherits(dataF, "QDNAseqReadCounts"))
>
> # Correct read counts as a function of GC content and mappability
> dataC <- correctBins(dataF)
Calculating correction for GC content and mappability
Calculating fit for sample LGG150 (1 of 1) ...
Done.
> print(dataC)
QDNAseqCopyNumbers (storageMode: lockedEnvironment)
assayData: 38819 features, 1 samples
element names: copynumber
protocolData: none
phenoData
sampleNames: LGG150
varLabels: name reads ... loess.family (6 total)
varMetadata: labelDescription
featureData
featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747
(38819 total)
fvarLabels: chromosome start ... use (9 total)
fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:
> plot(dataC, ylim=c(-100, 200))
Plotting sample LGG150 (1 of 1) ...
> stopifnot(inherits(dataC, "QDNAseqCopyNumbers"))
>
> # Normalize binned read counts to have diploid normal copy number
> dataN <- normalizeBins(dataC)
Applying median normalization ...
> print(dataN)
QDNAseqCopyNumbers (storageMode: lockedEnvironment)
assayData: 38819 features, 1 samples
element names: copynumber
protocolData: none
phenoData
sampleNames: LGG150
varLabels: name reads ... loess.family (6 total)
varMetadata: labelDescription
featureData
featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747
(38819 total)
fvarLabels: chromosome start ... use (9 total)
fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:
> plot(dataN)
Plotting sample LGG150 (1 of 1) ...
> stopifnot(inherits(dataN, "QDNAseqCopyNumbers"))
>
> # Plot noise
> noisePlot(dataF)
Calculating correction for GC content and mappability
Calculating fit for sample LGG150 (1 of 1) ...
Done.
>
> # Segment copy numbers
> fit <- segmentBins(dataN)
Performing segmentation:
Segmenting: LGG150 (1 of 1) ...
> print(fit)
QDNAseqCopyNumbers (storageMode: lockedEnvironment)
assayData: 38819 features, 1 samples
element names: copynumber, segmented
protocolData: none
phenoData
sampleNames: LGG150
varLabels: name reads ... loess.family (6 total)
varMetadata: labelDescription
featureData
featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747
(38819 total)
fvarLabels: chromosome start ... use (9 total)
fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:
> plot(fit)
Plotting sample LGG150 (1 of 1) ...
> stopifnot(inherits(fit, "QDNAseqCopyNumbers"))
>
> # Call copy-number segments
> #fitC <- callBins(fit)
> #print(fitC)
> #plot(fitC)
>
> proc.time()
user system elapsed
17.936 1.479 19.510
QDNAseq.Rcheck/QDNAseq-Ex.timings
| name | user | system | elapsed | |
| addPhenodata | 0.147 | 0.019 | 0.167 | |
| applyFilters | 0.809 | 0.034 | 0.843 | |
| binReadCounts | 0.000 | 0.000 | 0.001 | |
| callBins | 20.641 | 0.699 | 21.340 | |
| compareToReference | 1.450 | 0.153 | 1.603 | |
| correctBins | 0.968 | 0.107 | 1.075 | |
| createBins | 0.001 | 0.000 | 0.001 | |
| estimateCorrection | 0.931 | 0.093 | 1.024 | |
| exportBins | 0.000 | 0.000 | 0.001 | |
| frequencyPlot | 20.696 | 0.629 | 21.327 | |
| getBinAnnotations | 0.001 | 0.000 | 0.000 | |
| highlightFilters | 0.448 | 0.099 | 0.558 | |
| isobarPlot | 0.860 | 0.050 | 0.915 | |
| makeCgh | 1.363 | 0.154 | 1.517 | |
| noisePlot | 0.959 | 0.093 | 1.052 | |
| normalizeBins | 1.569 | 0.114 | 1.683 | |
| normalizeSegmentedBins | 6.434 | 0.257 | 6.690 | |
| plot | 1.659 | 0.152 | 1.811 | |
| poolRuns | 0.218 | 0.024 | 0.242 | |
| segmentBins | 5.900 | 0.204 | 6.105 | |
| smoothOutlierBins | 0.987 | 0.125 | 1.112 | |