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artMS

Bioc current

Analytical R tools for Mass Spectrometry

v1.29.0 · software · GPL (>= 3) + file LICENSE

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

artMS provides a set of tools for the analysis of proteomics label-free datasets. It takes as input the MaxQuant search result output (evidence.txt file) and performs quality control, relative quantification using MSstats, downstream analysis and integration. artMS also provides a set of functions to re-format and make it compatible with other analytical tools, including, SAINTq, SAINTexpress, Phosfate, and PHOTON. Check [http://artms.org](http://artms.org) for details.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

82 33 exported

Complexity

12.5 avg / 210 max

Call network

82 nodes / 124 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

18,225

Files

173

Compiled share

0%

Has compiled src

No

Language breakdown

R 13,908 (76.3%)Tests 37 (0.2%)Docs 2,448 (13.4%)Vignettes 1,832 (10.1%)

API

Exported functions

33

Internal functions

49

Recent export changes

v3.9+1 artmsLeaveOnlyUniprotEntryID  −1 artmsReplicatePlots
v3.8+33 artmsAnalysisQuantifications, artmsAnnotateSpecie, artmsAnnotationUniprot +30 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

40%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

GPL (>= 3) + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

16

First release

2019-04-07

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

9

LOC over versions

v3.8: 16,250 LOCv3.9: 16,435 LOCv3.10: 16,698 LOCv3.11: 17,727 LOCv3.12: 18,102 LOCv3.13: 18,225 LOCv3.14: 18,225 LOCv3.15: 18,225 LOCv3.16: 18,225 LOCv3.17: 18,225 LOCv3.18: 18,225 LOCv3.19: 18,225 LOCv3.20: 18,225 LOCv3.21: 18,225 LOCv3.22: 18,225 LOCv3.23: 18,225 LOC

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

Documentation

Documentation
READMEYes · 550 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
79%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("artMS")
Jimenez-Morales, D., Krogan, N., Rosa Campos, A., Swaney, D., & Von Dollen, J. (2026). artMS: Analytical R tools for Mass Spectrometry (Version 1.29.0) [Computer software]. https://bioconductor.org/packages/artMS

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 artMS version 1.29.0 [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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