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Fast functional enrichment for interactive applications

Bioconductor version: Release (3.19)

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.

Author: Marek Gierlinski [aut, cre]

Maintainer: Marek Gierlinski <M.Gierlinski at>

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


To install this package, start R (version "4.4") and enter:

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


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Fast functional enrichment HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Proteomics, Reactome, Software
Version 1.2.1
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License MIT + file LICENSE
Depends R (>= 4.1.0)
Imports tools, methods, assertthat, rlang, dplyr, tidyr, tidyselect, tibble, purrr, readr, stringr, httr2, rvest, progress, BiocFileCache, shiny, ggplot2
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Follow Installation instructions to use this package in your R session.

Source Package fenr_1.2.1.tar.gz
Windows Binary
macOS Binary (x86_64) fenr_1.2.1.tgz
macOS Binary (arm64) fenr_1.2.1.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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Old Source Packages for BioC 3.19 Source Archive