DOI: 10.18129/B9.bioc.baySeq    

This package is for version 3.14 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: 3.14

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 "4.1") 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:



PDF R Script Advanced baySeq analyses
PDF R Script baySeq
PDF   Reference Manual


biocViews DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software
Version 2.28.0
In Bioconductor since BioC 2.5 (R-2.10) (12.5 years)
License GPL-3
Depends R (>= 2.3.0), methods, GenomicRanges, abind, parallel
Imports edgeR
Suggests BiocStyle, BiocGenerics
Depends On Me clusterSeq, Rcade, segmentSeq, TCC
Imports Me metaseqR2, riboSeqR, srnadiff
Suggests Me compcodeR
Links To Me
Build Report  

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Source Package baySeq_2.28.0.tar.gz
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macOS 10.13 (High Sierra) baySeq_2.28.0.tgz
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