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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("biomvRCNS") Details
| Maintainer | Yang Du <tooyoung@gmail.com> |
| Author | Yang Du |
| License | GPL (>= 2) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | CopyNumberVariation, 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 package | biomvRCNS_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