Copy Number study and Segmentation for multivariate biological data

Bioconductor version: Release (2.12)

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 <duyang at>

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PDF R Script biomvRCNS package introduction
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biocViews CopyNumberVariants, Genetics, HighThroughputSequencing, Microarray, Sequencing, Software, Visualization, aCGH
Version 1.0.6
In Bioconductor since BioC 2.13 (R-2.18)
License GPL (>= 2)
Depends IRanges, GenomicRanges, Gviz
Imports methods, mvtnorm
Suggests cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene
System Requirements
Depends On Me
Imports Me
Suggests Me

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Package Source biomvRCNS_1.0.6.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) biomvRCNS_1.0.6.tgz
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