clusterSeq

DOI: 10.18129/B9.bioc.clusterSeq  

Clustering of high-throughput sequencing data by identifying co-expression patterns

Bioconductor version: Release (3.16)

Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.

Author: Thomas J. Hardcastle & Irene Papatheodorou

Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("clusterSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("clusterSeq")

 

PDF	R Script	Advanced baySeq analyses
PDF		Reference Manual

Details

biocViews	Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version	1.22.0
In Bioconductor since	BioC 3.5 (R-3.4) (6 years)
License	GPL-3
Depends	R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports	BiocGenerics
LinkingTo
Suggests	BiocStyle
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	clusterSeq_1.22.0.tar.gz
Windows Binary	clusterSeq_1.22.0.zip
macOS Binary (x86_64)	clusterSeq_1.22.0.tgz
macOS Binary (arm64)	clusterSeq_1.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/clusterSeq
Bioc Package Browser	https://code.bioconductor.org/browse/clusterSeq/
Package Short Url	https://bioconductor.org/packages/clusterSeq/
Package Downloads Report	Download Stats