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ChIPseqR

Bioc current

Identifying Protein Binding Sites in High-Throughput Sequencing Data

v1.66.0 · software · GPL (>= 2)

Release Lineage

Entered 2.5 · Oct 28, 2009

Current · Requires R 4.6

1.0 In 34 of 49 releases 3.23

Description

ChIPseqR identifies protein binding sites from ChIP-seq and nucleosome positioning experiments. The model used to describe binding events was developed to locate nucleosomes but should flexible enough to handle other types of experiments as well.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

39 0 exported

Complexity

4.8 avg / 17 max

Call network

39 nodes / 16 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

3,984

Files

41

Compiled share

5.4%

Has compiled src

Yes

Language breakdown

R 1,904 (47.8%)C/C++/src 215 (5.4%)Docs 1,541 (38.7%)Vignettes 324 (8.1%)

API

Exported functions

20

Internal functions

13

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

14.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10.0

System requirements

C++ standard

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

34

First release

2009-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

4

LOC over versions

v2.5: 3,679 LOCv2.6: 3,679 LOCv2.7: 3,681 LOCv2.8: 3,681 LOCv2.9: 3,680 LOCv2.10: 3,681 LOCv2.11: 3,681 LOCv2.12: 3,680 LOCv2.13: 3,680 LOCv2.14: 4,004 LOCv3.0: 4,004 LOCv3.1: 3,978 LOCv3.2: 3,978 LOCv3.3: 3,976 LOCv3.4: 3,976 LOCv3.5: 3,976 LOCv3.6: 3,976 LOCv3.7: 3,976 LOCv3.8: 3,976 LOCv3.9: 3,976 LOCv3.10: 3,976 LOCv3.11: 3,984 LOCv3.12: 3,984 LOCv3.13: 3,984 LOCv3.14: 3,984 LOCv3.15: 3,984 LOCv3.16: 3,984 LOCv3.17: 3,984 LOCv3.18: 3,984 LOCv3.19: 3,984 LOCv3.20: 3,984 LOCv3.21: 3,984 LOCv3.22: 3,984 LOCv3.23: 3,984 LOC

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

Topics

People

Peter Humburg

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ChIPseqR")

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 ChIPseqR version 1.66.0 [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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