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MSstatsShiny

Bioc current

MSstats GUI for Statistical Anaylsis of Proteomics Experiments

v1.14.0 · software · Artistic-2.0

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

MSstatsShiny is an R-Shiny graphical user interface (GUI) integrated with the R packages MSstats, MSstatsTMT, and MSstatsPTM. It provides a point and click end-to-end analysis pipeline applicable to a wide variety of experimental designs. These include data-dependedent acquisitions (DDA) which are label-free or tandem mass tag (TMT)-based, as well as DIA, SRM, and PRM acquisitions and those targeting post-translational modifications (PTMs). The application automatically saves users selections and builds an R script that recreates their analysis, supporting reproducible data analysis.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

170 25 exported

Complexity

5.5 avg / 138 max

Call network

170 nodes / 193 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

22,617

Files

143

Compiled share

0%

Has compiled src

No

Language breakdown

R 9,872 (43.6%)Tests 11,396 (50.4%)Docs 1,273 (5.6%)Vignettes 76 (0.3%)

API

Exported functions

25

Internal functions

147

Recent export changes

v3.22+1 networkUI

Testing & CI

Has tests

Yes

Test-to-code ratio

1.15

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

2.8%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

8

First release

2023-03-02

Latest release

2026-04-28

Avg cadence

168 days

Cold removal rate

Dep drift

12

LOC over versions

v3.16: 2,406 LOCv3.17: 14,842 LOCv3.18: 15,268 LOCv3.19: 15,224 LOCv3.20: 15,224 LOCv3.21: 15,224 LOCv3.22: 19,254 LOCv3.23: 22,617 LOC

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

Documentation

Documentation
READMEYes · 3,033 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideYes
Examples that run
97%
Documented parameters
96%
Return-value docs
96%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MSstatsShiny")
Wu, A., Choi, M., Huang, T., Kaza, M., Kohler, D., Mohandas, D., Pasi, C., Raju, D., Sabido, E., Staniak, M., & Vitek, O. (2026). MSstatsShiny: MSstats GUI for Statistical Anaylsis of Proteomics Experiments (Version 1.14.0) [Computer software]. https://bioconductor.org/packages/MSstatsShiny

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 MSstatsShiny version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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