ggbio
Bioc currentVisualization tools for genomic data
Release Lineage
Entered 2.9 · Nov 1, 2011
Current · Requires R 4.6
Description
The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
110 25 exported
Complexity
3.9 avg / 55 max
Call network
110 nodes / 50 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
15,507
Files
143
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
31
Internal functions
83
Testing
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
45.5%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
30
First release
2012-02-03
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
29
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 41
- Examples that run
- 86%30 run in a plain check · 5 never run
- Exported functions with examples
- 88%
- Documented parameters
- 83%
- Return-value docs
- 94%
- Help pages citing references
- 0%
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/lawremi/ggbio on 2026-10-22.
The R CMD check workflow runs on Linux, and on R-devel
Topics
Depended on by (18)
Show all 38 packagesHide all 38 packages
Bioconductor (17)
CRAN (1)
People
- Michael Lawrence author thesis advisor maintainer
- Dianne Cook author thesis advisor
- Johannes Rainer contributor
- Sanchit Saini contributor
- Tengfei Yin author
Cite
Cite this package
Run in R for the authors' entry:
citation("ggbio")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.