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Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (3.18)

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")):


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

if (!require("BiocManager", quietly = TRUE))


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


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

biomvRCNS package introduction PDF R Script
Reference Manual PDF


biocViews CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH
Version 1.42.2
In Bioconductor since BioC 2.12 (R-3.0) (11 years)
License GPL (>= 2)
Depends R (>= 3.5.0), IRanges, GenomicRanges, Gviz
Imports methods, mvtnorm
System Requirements
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Suggests cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene
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Package Archives

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

Source Package biomvRCNS_1.42.2.tar.gz
Windows Binary biomvRCNS_1.42.2.zip
macOS Binary (x86_64) biomvRCNS_1.42.2.tgz
macOS Binary (arm64) biomvRCNS_1.42.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/biomvRCNS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/biomvRCNS
Bioc Package Browser https://code.bioconductor.org/browse/biomvRCNS/
Package Short Url https://bioconductor.org/packages/biomvRCNS/
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Old Source Packages for BioC 3.18 Source Archive