biomvRCNS
Copy Number study and Segmentation for multivariate biological data
Bioconductor version: 3.24 · Package version: 1.53.0
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) |
| Downloads rank | 571 |
| Source branch | devel |
| biocViews | CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | biomvRCNS_1.53.0.tar.gz |
| Windows binary (x86_64) | biomvRCNS_1.53.0.zip |
| macOS binary (arm64) | biomvRCNS_1.53.0.tgz |
| macOS binary (x86_64) | biomvRCNS_1.53.0.tgz |
Dependencies
Depends: IRanges, GenomicRanges, Gviz
Suggests: cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene