To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biomvRCNS")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
In this package, a Hidden Semi Markov Model (HSMM) and one homogeneous segmentation model are designed and implemented for segmentation genomic data, with the aim of assisting in transcripts detection using high throughput technology like RNA-seq or tiling array, and copy number analysis using aCGH or sequencing.
Author: Yang Du
Maintainer: Yang Du <tooyoung at gmail.com>
Citation (from within R,
enter citation("biomvRCNS")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biomvRCNS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biomvRCNS")
R Script | biomvRCNS package introduction | |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH |
Version | 1.14.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (4 years) |
License | GPL (>= 2) |
Depends | IRanges, GenomicRanges, Gviz |
Imports | methods, mvtnorm |
LinkingTo | |
Suggests | cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | biomvRCNS_1.14.0.tar.gz |
Windows Binary | biomvRCNS_1.14.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | biomvRCNS_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/biomvRCNS/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/biomvRCNS/ |
Package Downloads Report | Download Stats |
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