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

GREAT Analysis - Functional Enrichment on Genomic Regions

Bioconductor version: Development (3.19)

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.

Author: Zuguang Gu [aut, cre]

Maintainer: Zuguang Gu < at>

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


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if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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Reference Manual PDF


biocViews Coverage, GO, GeneSetEnrichment, GenomeAnnotation, Pathways, Sequencing, Software, WholeGenome
Version 2.5.7
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License MIT + file LICENSE
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,, RColorBrewer, S4Vectors, GenomeInfoDb, foreach, doParallel, Rcpp
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Suggests testthat (>= 0.3), knitr, rmarkdown, BiocManager,, msigdbr, KEGGREST, reactome.db
Linking To Rcpp
Enhances BioMartGOGeneSets, UniProtKeywords
Depends On Me
Imports Me ATACCoGAPS, profileplyr
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