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ggmsa

Bioc current

Plot Multiple Sequence Alignment using 'ggplot2'

v1.18.0 · software · Artistic-2.0

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

A visual exploration tool for multiple sequence alignment and associated data. Supports MSA of DNA, RNA, and protein sequences using 'ggplot2'. Multiple sequence alignment can easily be combined with other 'ggplot2' plots, such as phylogenetic tree Visualized by 'ggtree', boxplot, genome map and so on. More features: visualization of sequence logos, sequence bundles, RNA secondary structures and detection of sequence recombinations.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

82 30 exported

Complexity

2.4 avg / 18 max

Call network

82 nodes / 62 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

4,733

Files

112

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,068 (64.8%)Tests 98 (2.1%)Docs 1,356 (28.6%)Vignettes 211 (4.5%)

API

Exported functions

30

Internal functions

52

Testing & CI

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

11.8%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.14: 3,790 LOCv3.15: 4,743 LOCv3.16: 4,743 LOCv3.17: 4,743 LOCv3.18: 4,743 LOCv3.19: 4,743 LOCv3.20: 4,743 LOCv3.21: 4,733 LOCv3.22: 4,733 LOCv3.23: 4,733 LOC

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

Documentation

Documentation
READMEYes · 194 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
97%
References docs
0%

Topics

Depended on by (1)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggmsa")
Yu, G., Huang, H., Xu, S., & Zhou, L. (2026). ggmsa: Plot Multiple Sequence Alignment using 'ggplot2' (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/ggmsa

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 ggmsa version 1.18.0 [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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