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ggmsa

Bioc current

Plot Multiple Sequence Alignment using 'ggplot2'

v1.18.0 · Package record · 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.

Advisories

None published for Bioconductor

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.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

4,728

Files

104

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,068 (64.9%)Tests 98 (2.1%)Docs 1,356 (28.7%)Vignettes 206 (4.4%)

API

Exported functions

30

Internal functions

52

Testing

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

3

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: 3,785 LOCv3.15: 4,738 LOCv3.16: 4,738 LOCv3.17: 4,738 LOCv3.18: 4,738 LOCv3.19: 4,738 LOCv3.20: 4,738 LOCv3.21: 4,728 LOCv3.22: 4,728 LOCv3.23: 4,728 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
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsiteYes
Help pages
42
Examples that run
100%20 run in a plain check
Exported functions with examples
60%
Documented parameters
99%
Return-value docs
97%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/yulab-smu/ggmsa on 2026-10-11.

Governance and community (1)
Code of conduct
Docs source (2)
README.Rmd

GitHub Pages site last deployed 2021-09-22

Reproducibility and dev environment (1)
Makefile
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
RF03120_SSdata.frame1 × 12 packages

5 internal objects are bundled for the package's own use and not listed here.

All of ggmsa's data objects

Topics

Maintainer
Guangchuang Yu

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("ggmsa")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bib/bbac222.

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 v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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