DOI: 10.18129/B9.bioc.baySeq  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see baySeq.

Empirical Bayesian analysis of patterns of differential expression in count data

Bioconductor version: 3.17

This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.

Author: Thomas J. Hardcastle

Maintainer: Thomas J. Hardcastle <tjh48 at>

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


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.


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biocViews DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software
Version 2.34.0
In Bioconductor since BioC 2.5 (R-2.10) (14 years)
License GPL-3
Depends R (>= 2.3.0), methods, GenomicRanges, abind, parallel
Imports edgeR
Suggests BiocStyle, BiocGenerics
Depends On Me clusterSeq, segmentSeq, TCC
Imports Me metaseqR2, riboSeqR, srnadiff
Suggests Me compcodeR
Links To Me
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