biomvRCNS

DOI: 10.18129/B9.bioc.biomvRCNS  

Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (3.17)

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>

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("biomvRCNS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual

Details

biocViews	CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH
Version	1.40.0
In Bioconductor since	BioC 2.12 (R-3.0) (10.5 years)
License	GPL (>= 2)
Depends	IRanges, GenomicRanges, Gviz
Imports	methods, mvtnorm
LinkingTo
Suggests	cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene
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Enhances
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/biomvRCNS
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/biomvRCNS
Package Short Url	https://bioconductor.org/packages/biomvRCNS/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.17	Source Archive