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clusterProfiler

Bioc current

A Universal Enrichment Tool for Interpreting Omics Data

v4.20.0 · software · Artistic-2.0

Release Lineage

Entered 2.8 · Apr 14, 2011

Current · Requires R 4.6

1.0 In 31 of 49 releases 3.23

Description

A universal tool for interpreting functional characteristics of omics data. It supports Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA) for both coding and non-coding genomics data of thousands of species. It provides a unified and tidy interface to access, manipulate, and visualize enrichment results. A key capability is the simultaneous analysis and comparison of datasets from multiple treatments or time points. Furthermore, it integrates Large Language Model (LLM) capabilities to provide automated and insightful interpretation of enrichment results.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

154 44 exported

Complexity

4 avg / 35 max

Call network

154 nodes / 131 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

8,202

Files

143

Compiled share

0%

Has compiled src

No

Language breakdown

R 6,015 (73.3%)Tests 192 (2.3%)Docs 1,903 (23.2%)Vignettes 92 (1.1%)

API

Exported functions

72

Internal functions

108

Recent export changes

v3.8+2 gsfilter, setReadable
v3.7+10 cnetplot, dotplot, emapplot +7 more  −1 plot

Testing & CI

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

No

Docs

Roxygen coverage

97.2%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

22.2%

Unsafe pattern score

9

Dep constraint coverage

23.8%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

31

First release

2011-07-29

Latest release

2026-04-28

Avg cadence

187 days

Cold removal rate

100%

Dep drift

44

LOC over versions

v2.8: 1,267 LOCv2.9: 1,278 LOCv2.10: 1,398 LOCv2.11: 1,414 LOCv2.12: 1,461 LOCv2.13: 1,571 LOCv2.14: 2,089 LOCv3.0: 2,745 LOCv3.1: 3,612 LOCv3.2: 4,079 LOCv3.3: 4,757 LOCv3.4: 5,005 LOCv3.5: 5,082 LOCv3.6: 5,124 LOCv3.7: 6,107 LOCv3.8: 6,192 LOCv3.9: 4,405 LOCv3.10: 4,588 LOCv3.11: 4,391 LOCv3.12: 4,604 LOCv3.13: 4,585 LOCv3.14: 4,573 LOCv3.15: 4,828 LOCv3.16: 5,226 LOCv3.17: 5,273 LOCv3.18: 5,856 LOCv3.19: 5,839 LOCv3.20: 5,860 LOCv3.21: 5,862 LOCv3.22: 6,020 LOCv3.23: 8,202 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 450 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideYes
Examples that run
25%
Documented parameters
100%
Return-value docs
96%
References docs
2%

Topics

Depended on by (113)

CRAN (19)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("clusterProfiler")
Yu, G., Chen, M., Dall'Olio, G., Gao, C., Luo, X., Wang, L., & Wei, W. (2026). clusterProfiler: A Universal Enrichment Tool for Interpreting Omics Data (Version 4.20.0) [Computer software]. https://bioconductor.org/packages/clusterProfiler

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for clusterProfiler version 4.20.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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