biomvRCNS
Copy Number study and Segmentation for multivariate biological data
Bioconductor version: Release (3.17)
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")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("biomvRCNS")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH |
| Version | 1.40.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) (10.5 years) |
| License | GPL (>= 2) |
| Depends | IRanges, GenomicRanges, Gviz |
| Imports | methods, mvtnorm |
| Linking To | |
| Suggests | cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene |
| System Requirements | |
| Enhances | |
| URL |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/biomvRCNS |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/biomvRCNS |
| Package Short Url | https://bioconductor.org/packages/biomvRCNS/ |
| Package Downloads Report | Download Stats |