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clusterSeq

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

All Bioconductor versions of clusterSeq

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

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

Bioconductor version: 3.24 · Package version: 1.37.0

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 iD ORCID: 0000-0001-9245-1535

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

DOI: 10.18129/B9.bioc.clusterSeq

Citation

From within R, enter citation("clusterSeq"):

Thomas J. Hardcastle, Irene Papatheodorou. clusterSeq: Clustering of high-throughput sequencing data by identifying co-expression patterns. doi:10.18129/B9.bioc.clusterSeq, R package version 1.37.0, https://bioconductor.org/packages/clusterSeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("clusterSeq")

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

Details

Version1.37.0
LicenseGPL-3
URLhttps://github.com/samgg/clusterSeq
Bug Reportshttps://github.com/samgg/clusterSeq/issues
Last updated2026-04-28
In Bioconductor sinceBioC 3.5 (R-3.4) (9 years)
Downloads rank1302 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsClustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Package Short Url https://bioconductor.org/packages/clusterSeq/

Documentation

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

browseVignettes("clusterSeq")
Advanced baySeq analyses PDF R Script
Reference ManualPDF

Download

Follow the installation instructions to use this package in your R session.

Source packageclusterSeq_1.37.0.tar.gz
Windows binary (x86_64)clusterSeq_1.37.0.zip
macOS binary (arm64)clusterSeq_1.37.0.tgz
macOS binary (x86_64)clusterSeq_1.37.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/clusterSeq
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils

Imports: BiocGenerics

Suggests: BiocStyle