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DominoEffect

Bioc current

Identification and Annotation of Protein Hotspot Residues

v1.32.0 · software · GPL (>= 3)

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

The functions support identification and annotation of hotspot residues in proteins. These are individual amino acids that accumulate mutations at a much higher rate than their surrounding regions.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

7 7 exported

Complexity

13 avg / 31 max

Call network

7 nodes / 5 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

1,253

Files

25

Compiled share

0%

Has compiled src

No

Language breakdown

R 714 (57%)Tests 84 (6.7%)Docs 260 (20.8%)Vignettes 195 (15.6%)

API

Exported functions

7

Internal functions

0

Recent export changes

v3.7+7 align_to_unip, calculate_boundary, DominoEffect +4 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.12

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

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

C++ standard

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

4

LOC over versions

v3.7: 1,251 LOCv3.8: 1,250 LOCv3.9: 1,250 LOCv3.10: 1,252 LOCv3.11: 1,252 LOCv3.12: 1,252 LOCv3.13: 1,252 LOCv3.14: 1,252 LOCv3.15: 1,252 LOCv3.16: 1,252 LOCv3.17: 1,252 LOCv3.18: 1,252 LOCv3.19: 1,253 LOCv3.20: 1,253 LOCv3.21: 1,253 LOCv3.22: 1,253 LOCv3.23: 1,253 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

Marija Buljan

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DominoEffect")

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 DominoEffect version 1.32.0 [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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