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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 (3.20)

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]

Maintainer: Samuel Granjeaud <samuel.granjeaud at>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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 1.29.0
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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Follow Installation instructions to use this package in your R session.

Source Package clusterSeq_1.29.0.tar.gz
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macOS Binary (x86_64) clusterSeq_1.29.0.tgz
macOS Binary (arm64) clusterSeq_1.29.0.tgz
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Source Repository (Developer Access) git clone
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