This is the released version of GOfuncR; for the devel version, see GOfuncR.
Gene ontology enrichment using FUNCBioconductor version: Release (3.21)
GOfuncR performs a gene ontology enrichment analysis based on the ontology enrichment software FUNC. GO-annotations are obtained from OrganismDb or OrgDb packages ('Homo.sapiens' by default); the GO-graph is included in the package and updated regularly (01-May-2021). GOfuncR provides the standard candidate vs. background enrichment analysis using the hypergeometric test, as well as three additional tests: (i) the Wilcoxon rank-sum test that is used when genes are ranked, (ii) a binomial test that is used when genes are associated with two counts and (iii) a Chi-square or Fisher's exact test that is used in cases when genes are associated with four counts. To correct for multiple testing and interdependency of the tests, family-wise error rates are computed based on random permutations of the gene-associated variables. GOfuncR also provides tools for exploring the ontology graph and the annotations, and options to take gene-length or spatial clustering of genes into account. It is also possible to provide custom gene coordinates, annotations and ontologies.
Author: Steffi Grote
Maintainer: Steffi Grote <grote.steffi at gmail.com>
Citation (from within R, entercitation("GOfuncR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GOfuncR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GOfuncR")
Details biocViews GO, GeneSetEnrichment, Software Version 1.28.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL (>= 2) Depends R (>= 3.4), vioplot (>= 0.2) Imports Rcpp (>= 0.11.5), mapplots (>= 1.5), gtools (>= 3.5.0), GenomicRanges(>= 1.28.4), IRanges, AnnotationDbi, utils, grDevices, graphics, stats System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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