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Client for the Reactome Analysis Service for comparative multi-omics gene set analysis

Bioconductor version: Release (3.19)

The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.

Author: Johannes Griss [aut, cre]

Maintainer: Johannes Griss <johannes.griss at>

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


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

Analysing single-cell RNAseq data HTML R Script
Loading and re-analysing public data through ReactomeGSA HTML R Script
Using the ReactomeGSA package HTML R Script
Reference Manual PDF


biocViews GeneExpression, GeneSetEnrichment, Proteomics, Reactome, Software, SystemsBiology, Transcriptomics
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License MIT + file LICENSE
Imports jsonlite, httr, progress, ggplot2, methods, gplots, RColorBrewer, dplyr, tidyr, Biobase
System Requirements
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Suggests testthat, knitr, rmarkdown,, devtools
Linking To
Enhances limma, edgeR, Seurat (>= 3.0), scater
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Follow Installation instructions to use this package in your R session.

Source Package ReactomeGSA_1.18.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) ReactomeGSA_1.18.0.tgz
macOS Binary (arm64) ReactomeGSA_1.18.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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