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GenomicOZone

Bioc current

Delineate outstanding genomic zones of differential gene activity

v1.26.0 · Package record · software · LGPL (>=3)

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

The package clusters gene activity along chromosome into zones, detects differential zones as outstanding, and visualizes maps of outstanding zones across the genome. It enables characterization of effects on multiple genes within adaptive genomic neighborhoods, which could arise from genome reorganization, structural variation, or epigenome alteration. It guarantees cluster optimality, linear runtime to sample size, and reproducibility. One can apply it on genome-wide activity measurements such as copy number, transcriptomic, proteomic, and methylation data.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

26 9 exported

Complexity

5.5 avg / 25 max

Call network

26 nodes / 19 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

1,839

Files

16

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,252 (68.1%)Docs 365 (19.8%)Vignettes 222 (12.1%)

API

Exported functions

9

Internal functions

17

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

6.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

–

C++ standard

–

License

LGPL (>=3)

License flags

not SPDX, not OSI

History

Versions

14

First release

2019-10-29

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

4

LOC over versions

v3.10: 1,835 LOCv3.11: 1,835 LOCv3.12: 1,838 LOCv3.13: 1,839 LOCv3.14: 1,839 LOCv3.15: 1,839 LOCv3.16: 1,839 LOCv3.17: 1,839 LOCv3.18: 1,839 LOCv3.19: 1,839 LOCv3.20: 1,839 LOCv3.21: 1,839 LOCv3.22: 1,839 LOCv3.23: 1,839 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 86 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100% with a bibliography file
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Topics

Maintainer
Hua Zhong

Available on

CRANr2uBioconductorautoCRANCOPR

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GenomicOZone")

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 GenomicOZone version 1.26.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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