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biomvRCNS

Copy Number study and Segmentation for multivariate biological data

Bioconductor version: 3.23 · Package version: 1.52.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.biomvRCNS

Installation

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

BiocManager::install("biomvRCNS")

Details

MaintainerYang Du <tooyoung@gmail.com>
AuthorYang Du
LicenseGPL (>= 2)
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsCopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH
Package Short Url https://bioconductor.org/packages/biomvRCNS/

Citation

From within R, enter citation("biomvRCNS"):

Yang Du. biomvRCNS: Copy Number study and Segmentation for multivariate biological data. doi:10.18129/B9.bioc.biomvRCNS, R package version 1.52.0, https://bioconductor.org/packages/biomvRCNS.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagebiomvRCNS_1.52.0.tar.gz
Windows binary (x86_64)biomvRCNS_1.52.0.zip
macOS binary (arm64)biomvRCNS_1.52.0.tgz
macOS binary (x86_64)biomvRCNS_1.52.0.tgz
Dependencies

Depends: IRanges, GenomicRanges, Gviz

Imports: methods, mvtnorm

Suggests: cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene