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ChIPComp

Bioc current

Quantitative comparison of multiple ChIP-seq datasets

v1.41.0 · software · GPL

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

ChIPComp detects differentially bound sharp binding sites across multiple conditions considering matching control.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

18 3 exported

Complexity

2.9 avg / 9 max

Call network

18 nodes / 12 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

803

Files

29

Compiled share

8.2%

Has compiled src

Yes

Language breakdown

R 333 (41.5%)C/C++/src 66 (8.2%)Tests 1 (0.1%)Docs 287 (35.7%)Vignettes 116 (14.4%)

API

Exported functions

3

Internal functions

13

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.2.0

System requirements

C++ standard

License

GPL

License flags

not SPDX, not OSI

History

Versions

22

First release

2015-10-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.2: 779 LOCv3.3: 779 LOCv3.4: 792 LOCv3.5: 792 LOCv3.6: 792 LOCv3.7: 792 LOCv3.8: 792 LOCv3.9: 792 LOCv3.10: 792 LOCv3.11: 803 LOCv3.12: 803 LOCv3.13: 803 LOCv3.14: 803 LOCv3.15: 803 LOCv3.16: 803 LOCv3.17: 803 LOCv3.18: 803 LOCv3.19: 803 LOCv3.20: 803 LOCv3.21: 803 LOCv3.22: 803 LOCv3.23: 803 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Li Chen

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ChIPComp")

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 ChIPComp version 1.41.0 [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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