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rGREAT

GREAT Analysis - Functional Enrichment on Genomic Regions

Bioconductor version: 3.23 · Package version: 2.14.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

GREAT (Genomic Regions Enrichment of Annotations Tool) is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm (the local GREAT analysis), also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application. rGREAT by default supports more than 600 organisms and a large number of gene set collections, as well as self-provided gene sets and organisms from users. Additionally, it implements a general method for dealing with background regions.

DOI: 10.18129/B9.bioc.rGREAT

Installation

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

BiocManager::install("rGREAT")

Details

MaintainerZuguang Gu <guzuguang@suat-sz.edu.cn>
AuthorZuguang Gu [aut, cre] (ORCID: <https://orcid.org/0000-0002-7395-8709>)
LicenseMIT + file LICENSE
URLhttps://github.com/jokergoo/rGREAT, http://great.stanford.edu/public/html/
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsCoverage, GO, GeneSetEnrichment, GenomeAnnotation, Pathways, Sequencing, Software, WholeGenome
Package Short Url https://bioconductor.org/packages/rGREAT/

Citation

From within R, enter citation("rGREAT"):

Zuguang Gu. rGREAT: GREAT Analysis - Functional Enrichment on Genomic Regions. doi:10.18129/B9.bioc.rGREAT, R package version 2.14.0, https://bioconductor.org/packages/rGREAT.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagerGREAT_2.14.0.tar.gz
Windows binary (x86_64)rGREAT_2.14.0.zip
macOS binary (arm64)rGREAT_2.14.0.tgz
macOS binary (x86_64)rGREAT_2.14.0.tgz
Dependencies

Depends: R (>= 4.0.0), GenomicRanges, IRanges, methods

Imports: graphics, rjson, GetoptLong (>= 0.0.9), RCurl, utils, stats, GlobalOptions, shiny, DT, GenomicFeatures, digest, GO.db, progress, circlize, AnnotationDbi, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db, RColorBrewer, S4Vectors, GenomeInfoDb, foreach, doParallel, Rcpp

LinkingTo: Rcpp

Suggests: testthat (>= 0.3), knitr, rmarkdown, BiocManager, org.Mm.eg.db, msigdbr, KEGGREST, reactome.db

Enhances: BioMartGOGeneSets, UniProtKeywords

Reverse dependencies

Imports Me (1): profileplyr