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Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") 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 1.44.0
In Bioconductor since BioC 2.12 (R-3.0) (11 years)
License GPL (>= 2)
Depends IRanges, GenomicRanges, Gviz
Imports methods, mvtnorm
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Suggests cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene
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Follow Installation instructions to use this package in your R session.

Source Package biomvRCNS_1.44.0.tar.gz
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macOS Binary (x86_64) biomvRCNS_1.44.0.tgz
macOS Binary (arm64) biomvRCNS_1.44.0.tgz
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Source Repository (Developer Access) git clone
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