biomvRCNS

Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (2.12)

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:

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

To cite this package in a publication, start R and enter:

    citation("biomvRCNS")

Documentation

PDF	R Script	biomvRCNS package introduction
PDF		Reference Manual
Text		NEWS

Details

biocViews	CopyNumberVariants, Genetics, HighThroughputSequencing, Microarray, Sequencing, Software, Visualization, aCGH
Version	1.0.6
In Bioconductor since	BioC 2.13 (R-2.18)
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 Downloads

Package Source	biomvRCNS_1.0.6.tar.gz
Windows Binary	biomvRCNS_1.0.6.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	biomvRCNS_1.0.6.tgz
Package Downloads Report	Download Stats

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