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ReactomePA

Bioc current

Reactome Pathway Analysis

v1.56.0 · software · GPL-2

Release Lineage

Entered 2.10 · Apr 2, 2012

Current · Requires R 4.6

1.0 In 29 of 49 releases 3.23

Description

This package provides functions for pathway analysis based on REACTOME pathway database. It implements enrichment analysis, gene set enrichment analysis and several functions for visualization. This package is not affiliated with the Reactome team.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 4 exported

Complexity

2.5 avg / 6 max

Call network

10 nodes / 9 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

903

Files

33

Compiled share

0%

Has compiled src

No

Language breakdown

R 553 (61.2%)Tests 12 (1.3%)Docs 293 (32.4%)Vignettes 45 (5%)

API

Exported functions

12

Internal functions

6

Recent export changes

v3.7+8 cnetplot, dotplot, emapplot +5 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

6

Dep constraint coverage

20%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4.0

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

29

First release

2012-05-24

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

21

LOC over versions

v2.10: 651 LOCv2.11: 220 LOCv2.12: 227 LOCv2.13: 453 LOCv2.14: 674 LOCv3.0: 891 LOCv3.1: 955 LOCv3.2: 1,090 LOCv3.3: 989 LOCv3.4: 1,054 LOCv3.5: 1,054 LOCv3.6: 1,054 LOCv3.7: 1,058 LOCv3.8: 1,047 LOCv3.9: 1,047 LOCv3.10: 1,047 LOCv3.11: 1,048 LOCv3.12: 868 LOCv3.13: 868 LOCv3.14: 868 LOCv3.15: 867 LOCv3.16: 939 LOCv3.17: 939 LOCv3.18: 939 LOCv3.19: 924 LOCv3.20: 914 LOCv3.21: 914 LOCv3.22: 914 LOCv3.23: 903 LOC

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

Documentation

Documentation
READMEYes · 119 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
50%
Documented parameters
100%
Return-value docs
80%
References docs
0%

Topics

Depended on by (26)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ReactomePA")
Yu, G., & Petyuk, V. (2026). ReactomePA: Reactome Pathway Analysis (Version 1.56.0) [Computer software]. https://bioconductor.org/packages/ReactomePA

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 ReactomePA version 1.56.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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