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This is the development version of enrichplot; for the stable release version, see enrichplot.

Visualization of Functional Enrichment Result

Bioconductor version: Development (3.20)

The 'enrichplot' package implements several visualization methods for interpreting functional enrichment results obtained from ORA or GSEA analysis. It is mainly designed to work with the 'clusterProfiler' package suite. All the visualization methods are developed based on 'ggplot2' graphics.

Author: Guangchuang Yu [aut, cre] , Erqiang Hu [ctb] , Chun-Hui Gao [ctb]

Maintainer: Guangchuang Yu <guangchuangyu at>

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


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

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

# The following initializes usage of Bioc devel


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:

enrichplot HTML
Reference Manual PDF


biocViews Annotation, GO, GeneSetEnrichment, KEGG, Pathways, Software, Visualization
Version 1.25.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports aplot (>= 0.2.1), DOSE(>= 3.16.0), ggfun (>= 0.1.3), ggnewscale, ggplot2, ggraph, graphics, grid, igraph, methods, plyr, purrr, RColorBrewer, reshape2, rlang, stats, utils, scatterpie, shadowtext, GOSemSim, magrittr, ggtree, yulab.utils (>= 0.0.8)
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Suggests clusterProfiler, dplyr, europepmc, ggupset, knitr, rmarkdown,, prettydoc, tibble, tidyr, ggforce, AnnotationDbi, ggplotify, ggridges, grDevices, gridExtra, ggrepel (>= 0.9.0), ggstar, scales, ggtreeExtra, tidydr
Linking To
Depends On Me maEndToEnd
Imports Me CBNplot, ChIPseeker, clusterProfiler, debrowser, enrichViewNet, MAGeCKFlute, meshes, MicrobiomeProfiler, ReactomePA, TDbasedUFEadv, ExpHunterSuite, TOmicsVis
Suggests Me GeoTcgaData, mastR, methylGSA, pareg, ReporterScore, SCpubr
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package enrichplot_1.25.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) enrichplot_1.25.0.tgz
macOS Binary (arm64) enrichplot_1.25.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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