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martini

Bioc current

GWAS Incorporating Networks

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

martini deals with the low power inherent to GWAS studies by using prior knowledge represented as a network. SNPs are the vertices of the network, and the edges represent biological relationships between them (genomic adjacency, belonging to the same gene, physical interaction between protein products). The network is scanned using SConES, which looks for groups of SNPs maximally associated with the phenotype, that form a close subnetwork.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

81 16 exported

Complexity

2.2 avg / 11 max

Call network

81 nodes / 81 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

6,615

Files

163

Compiled share

27.8%

Has compiled src

Yes

Language breakdown

R 1,648 (24.9%)C/C++/src 1,837 (27.8%)Tests 1,259 (19%)Docs 1,594 (24.1%)Vignettes 277 (4.2%)

API

Exported functions

16

Internal functions

29

Recent export changes

v3.9+2 scones, scones.cv
v3.7+7 get_GI_network, get_GM_network, get_GS_network +4 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.76

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

62.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0

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

2

LOC over versions

v3.7: 3,031 LOCv3.8: 3,038 LOCv3.9: 3,746 LOCv3.10: 3,745 LOCv3.11: 3,776 LOCv3.12: 3,776 LOCv3.13: 6,589 LOCv3.14: 6,589 LOCv3.15: 6,589 LOCv3.16: 6,615 LOCv3.17: 6,615 LOCv3.18: 6,615 LOCv3.19: 6,615 LOCv3.20: 6,615 LOCv3.21: 6,615 LOCv3.22: 6,615 LOCv3.23: 6,615 LOC

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

Documentation

Documentation
READMEYes · 115 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
97%
Return-value docs
100%
References docs
20%

Datasets

Bundled datasets · 3
NameClassRows × ColsAlso in
minigwaslistNo other package
minippidata.frame3 × 2No other package
minisnpMappingdata.frame21 × 2No other package

All of martini's data objects

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("martini")
Climente-Gonzalez, H., & Azencott, C. (2026). martini: GWAS Incorporating Networks (Version 1.32.0) [Computer software]. https://bioconductor.org/packages/martini

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 martini version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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