clusterSeq

This is the development version of clusterSeq; for the stable release version, see clusterSeq.

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

Bioconductor version: Development (3.23)

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

Author: Thomas J. Hardcastle [aut], Irene Papatheodorou [aut], Samuel Granjeaud [cre] ORCID: 0000-0001-9245-1535

Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>

Citation (from within R, enter citation("clusterSeq")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("clusterSeq")

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

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version	1.35.0
In Bioconductor since	BioC 3.5 (R-3.4) (8.5 years)
License	GPL-3
Depends	R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports	BiocGenerics
System Requirements
URL	https://github.com/samgg/clusterSeq
Bug Reports	https://github.com/samgg/clusterSeq/issues

Suggests	BiocStyle
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Build Report	Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/clusterSeq
Package Short Url	https://bioconductor.org/packages/clusterSeq/
Package Downloads Report	Download Stats