Bioconductor 3.22 Released

ReactomeGSA

This is the development version of ReactomeGSA; for the stable release version, see ReactomeGSA.

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


Bioconductor version: Development (3.23)

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] ORCID iD ORCID: 0000-0003-2206-9511

Maintainer: Johannes Griss <johannes.griss at meduniwien.ac.at>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ReactomeGSA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews GeneExpression, GeneSetEnrichment, Proteomics, Reactome, Software, SystemsBiology, Transcriptomics
Version 1.25.0
In Bioconductor since BioC 3.10 (R-3.6) (6 years)
License MIT + file LICENSE
Depends
Imports Biobase, BiocSingular, dplyr, ggplot2, gplots, httr, igraph, jsonlite, methods, progress, RColorBrewer, SummarizedExperiment, tidyr
System Requirements
URL https://github.com/reactome/ReactomeGSA
Bug Reports https://github.com/reactome/ReactomeGSA/issues
See More
Suggests devtools, knitr, ReactomeGSA.data, rmarkdown, scater, scran, scRNAseq, scuttle, Seurat (>= 3.0), SingleCellExperiment, testthat
Linking To
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/ReactomeGSA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ReactomeGSA
Package Short Url https://bioconductor.org/packages/ReactomeGSA/
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