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
| Maintainer | Zuguang Gu <guzuguang@suat-sz.edu.cn> |
| Author | Zuguang Gu [aut, cre] (ORCID: <https://orcid.org/0000-0002-7395-8709>) |
| License | MIT + file LICENSE |
| URL | https://github.com/jokergoo/rGREAT, http://great.stanford.edu/public/html/ |
| Downloads rank | 1045 |
| Source branch | RELEASE_3_23 |
| biocViews | Coverage, 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