Bioc2026 Registration Open!

fenr

Fast functional enrichment for interactive applications

Bioconductor version: 3.23 · Package version: 1.10.2

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fenr")

Details

MaintainerMarek Gierlinski <M.Gierlinski@dundee.ac.uk>
AuthorMarek Gierlinski [aut, cre] (ORCID: <https://orcid.org/0000-0001-9149-3514>)
LicenseMIT + file LICENSE
URLhttps://github.com/bartongroup/fenr
Bug Reportshttps://github.com/bartongroup/fenr/issues
Downloads rank206
Source branchRELEASE_3_23
biocViewsDifferentialExpression, FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Proteomics, Reactome, Software

Documentation

Download

Dependencies

Depends: R (>= 4.1.0)

Imports: tools, methods, assertthat, rlang, dplyr, tidyr, tidyselect, tibble, purrr, readr, stringr, httr2, progress, BiocFileCache, shiny, ggplot2

Suggests: BiocStyle, testthat, knitr, rmarkdown, topGO

Reverse dependencies

Imports Me (1): tidyexposomics