Bioconductor version: Release (3.14)
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")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biomvRCNS")
R Script | biomvRCNS package introduction | |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariation, Genetics, Microarray, Sequencing, Software, Visualization, aCGH |
Version | 1.34.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (9 years) |
License | GPL (>= 2) |
Depends | IRanges, GenomicRanges, Gviz |
Imports | methods, mvtnorm |
LinkingTo | |
Suggests | cluster, parallel, GenomicFeatures, dynamicTreeCut, Rsamtools, TxDb.Hsapiens.UCSC.hg19.knownGene |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | biomvRCNS_1.34.0.tar.gz |
Windows Binary | biomvRCNS_1.34.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | biomvRCNS_1.34.0.tgz |
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 |
Old Source Packages for BioC 3.14 | Source Archive |
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