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rGREAT

GREAT Analysis - Functional Enrichment on Genomic Regions

Bioconductor version: 3.23 · Package version: 2.14.0

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.

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/
Downloads rank1045
Source branchRELEASE_3_23
biocViewsCoverage, GO, GeneSetEnrichment, GenomeAnnotation, Pathways, Sequencing, Software, WholeGenome

Documentation

Download

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