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crupR

Bioc current

An R package to predict condition-specific enhancers from ChIP-seq data

v1.4.0 · software · GPL-3

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

An R package that offers a workflow to predict condition-specific enhancers from ChIP-seq data. The prediction of regulatory units is done in four main steps: Step 1 - the normalization of the ChIP-seq counts. Step 2 - the prediction of active enhancers binwise on the whole genome. Step 3 - the condition-specific clustering of the putative active enhancers. Step 4 - the detection of possible target genes of the condition-specific clusters using RNA-seq counts.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

26 7 exported

Complexity

5.7 avg / 32 max

Call network

26 nodes / 17 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

2,680

Files

65

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,473 (55%)Tests 394 (14.7%)Docs 486 (18.1%)Vignettes 327 (12.2%)

API

Exported functions

7

Internal functions

19

Recent export changes

v3.21+7 getDynamics, getEnhancers, getSE +4 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.27

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

Dep drift

2

LOC over versions

v3.21: 2,681 LOCv3.22: 2,680 LOCv3.23: 2,680 LOC

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

Documentation

Documentation
READMEYes · 1,350 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
86%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("crupR")
Akbari Omgba, P., Laupert, V., & Vingron, M. (2026). crupR: An R package to predict condition-specific enhancers from ChIP-seq data (Version 1.4.0) [Computer software]. https://bioconductor.org/packages/crupR

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 crupR version 1.4.0 [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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