To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("biomvRCNS")

In most cases, you don't need to download the package archive at all.

biomvRCNS

Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (2.14)

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 <duyang at fbn-dummerstorf.de>

To install this package, start R and enter:

Citation (from within R, enter citation("biomvRCNS")):

Installation

source("http://bioconductor.org/biocLite.R")
biocLite("biomvRCNS")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("biomvRCNS")

 

PDF R Script biomvRCNS package introduction
PDF   Reference Manual
Text   NEWS

Details

biocViews CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH
Version 1.4.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL (>= 2)
Depends IRanges, GenomicRanges, Gviz
Imports methods, mvtnorm
Suggests cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source biomvRCNS_1.4.0.tar.gz
Windows Binary biomvRCNS_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) biomvRCNS_1.4.0.tgz
Mac OS X 10.9 (Mavericks) biomvRCNS_1.4.0.tgz
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