Last data update: 2014.03.03
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cn.mops
Package: cn.mops
Maintainer: Guenter Klambauer <cn.mops@bioinf.jku.at>
Author: Guenter Klambauer
License: LGPL (>= 2.0)
Type: Package
Title: cn.mops - Mixture of Poissons for CNV detection in NGS data
Description: cn.mops (Copy Number estimation by a Mixture Of PoissonS)
is a data processing pipeline for copy number variations and
aberrations (CNVs and CNAs) from next generation sequencing
(NGS) data. The package supplies functions to convert BAM files
into read count matrices or genomic ranges objects, which are
the input objects for cn.mops. cn.mops models the depths of
coverage across samples at each genomic position. Therefore, it
does not suffer from read count biases along chromosomes. Using
a Bayesian approach, cn.mops decomposes read variations across
samples into integer copy numbers and noise by its mixture
components and Poisson distributions, respectively. cn.mops
guarantees a low FDR because wrong detections are indicated by
high noise and filtered out. cn.mops is very fast and written
in C++.
Version: 1.18.0
Date: 2016-03-03
URL: http://www.bioinf.jku.at/software/cnmops/cnmops.html
Depends: R (>= 2.12), methods, utils, stats, graphics, parallel,
GenomicRanges
Imports: BiocGenerics, Biobase, IRanges, Rsamtools, GenomeInfoDb,
S4Vectors
Suggests: DNAcopy
LazyLoad: yes
biocViews: Sequencing, CopyNumberVariation, Homo_sapiens, CellBiology,
HapMap, Genetics
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-04 04:18:46 UTC; biocbuild
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'cn.mops' ...
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c R_init_cnmops.c -o R_init_cnmops.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c cnmops.cpp -o cnmops.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c segment.cpp -o segment.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o cn.mops.so R_init_cnmops.o cnmops.o segment.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/cn.mops/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'cn.mops'
finding HTML links ... done
CNVDetectionResult html
CNVRanges html
X html
XRanges html
calcFractionalCopyNumbers-CNVDetectionResult-method
html
calcFractionalCopyNumbers html
calcIntegerCopyNumbers-CNVDetectionResult-method
html
calcIntegerCopyNumbers html
cn.mops html
cnvr-CNVDetectionResult-method html
cnvr html
cnvs-CNVDetectionResult-method html
cnvs html
exomeCounts html
exomecn.mops html
getReadCountsFromBAM html
getSegmentReadCountsFromBAM html
gr-CNVDetectionResult-method html
gr html
haplocn.mops html
individualCall-CNVDetectionResult-method
html
individualCall html
iniCall-CNVDetectionResult-method html
iniCall html
integerCopyNumber-CNVDetectionResult-method
html
integerCopyNumber html
localAssessments-CNVDetectionResult-method
html
localAssessments html
makeRobustCNVR html
normalizeChromosomes html
normalizeGenome html
normalizedData-CNVDetectionResult-method
html
normalizedData html
params-CNVDetectionResult-method html
params html
plot html
posteriorProbs-CNVDetectionResult-method
html
posteriorProbs html
referencecn.mops html
sampleNames-CNVDetectionResult-method html
sampleNames html
segment html
segmentation-CNVDetectionResult-method
html
segmentation html
segplot-CNVDetectionResult-method html
segplot html
show html
singlecn.mops html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (cn.mops)
Making 'packages.html' ... done
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