Package: fenr Title: Fast functional enrichment for interactive applications Version: 1.10.3 Authors@R: person( given = "Marek", family = "Gierlinski", email = "M.Gierlinski@dundee.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9149-3514") ) Description: Perform fast functional enrichment on feature lists (like genes or proteins) using the hypergeometric distribution. Tailored for speed, this package is ideal for interactive platforms such as Shiny. It supports the retrieval of functional data from sources like GO, KEGG, Reactome, Bioplanet and WikiPathways. By downloading and preparing data first, it allows for rapid successive tests on various feature selections without the need for repetitive, time-consuming preparatory steps typical of other packages. URL: https://github.com/bartongroup/fenr BugReports: https://github.com/bartongroup/fenr/issues Depends: R (>= 4.1.0) License: MIT + file LICENSE Encoding: UTF-8 biocViews: FunctionalPrediction, DifferentialExpression, GeneSetEnrichment, GO, KEGG, Reactome, Proteomics Imports: tools, methods, assertthat, rlang, dplyr, tidyr, tidyselect, tibble, purrr, readr, stringr, httr2, progress, BiocFileCache, shiny, ggplot2 Suggests: BiocStyle, testthat, knitr, rmarkdown, topGO VignetteBuilder: knitr LazyData: false Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev libx11-dev zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-09-23 12:07:10 UTC RemoteUrl: https://github.com/bioc/fenr RemoteRef: RELEASE_3_23 RemoteSha: ef18c749d762a2edf28ee923f364eac2fcbbbb80 NeedsCompilation: no Packaged: 2026-09-24 00:01:34 UTC; root Author: Marek Gierlinski [aut, cre] (ORCID: ) Maintainer: Marek Gierlinski