DOI: 10.18129/B9.bioc.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 (3.9)

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 "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("clusterSeq", version = "3.9")

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:



PDF R Script Advanced baySeq analyses
PDF   Reference Manual


biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version 1.7.0
In Bioconductor since BioC 3.5 (R-3.4) (2 years)
License GPL-3
Depends R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports BiocGenerics
Suggests BiocStyle
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package clusterSeq_1.7.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) clusterSeq_1.7.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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