clusterSeq

DOI: 10.18129/B9.bioc.clusterSeq    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see clusterSeq.

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

Bioconductor version: 3.13

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 "4.1") and enter:

if (!requireNamespace("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	1.16.0
In Bioconductor since	BioC 3.5 (R-3.4) (4.5 years)
License	GPL-3
Depends	R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports	BiocGenerics
LinkingTo
Suggests	BiocStyle
SystemRequirements
Enhances
URL
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	clusterSeq_1.16.0.tar.gz
Windows Binary	clusterSeq_1.16.0.zip
macOS 10.13 (High Sierra)	clusterSeq_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access)	git clone [email protected]:packages/clusterSeq
Package Short Url	https://bioconductor.org/packages/clusterSeq/
Package Downloads Report	Download Stats