clusterSeq

DOI: 10.18129/B9.bioc.clusterSeq    

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

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clusterSeq")

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	1.2.0
In Bioconductor since	BioC 3.5 (R-3.4) (1 year)
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
Build Report

Package Archives

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

Source Package	clusterSeq_1.2.0.tar.gz
Windows Binary	clusterSeq_1.2.0.zip
Mac OS X 10.11 (El Capitan)	clusterSeq_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/clusterSeq
Package Short Url	http://bioconductor.org/packages/clusterSeq/
Package Downloads Report	Download Stats