biomvRCNS

DOI: 10.18129/B9.bioc.biomvRCNS  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see biomvRCNS.

Copy Number study and Segmentation for multivariate biological data

Bioconductor version: 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>

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

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
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
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/
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