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

Bioconductor version: Release (3.18)

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>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

Advanced baySeq analyses PDF R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports BiocGenerics
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Source Package clusterSeq_1.26.0.tar.gz
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