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MassSpecWavelet

Bioc current

Peak Detection for Mass Spectrometry data using wavelet-based algorithms

v1.78.2 · software · LGPL (>= 2)

Release Lineage

Entered 2.0 · Apr 26, 2007

Current · Requires R 4.6

1.0 In 39 of 49 releases 3.23

Description

Peak Detection in Mass Spectrometry data is one of the important preprocessing steps. The performance of peak detection affects subsequent processes, including protein identification, profile alignment and biomarker identification. Using Continuous Wavelet Transform (CWT), this package provides a reliable algorithm for peak detection that does not require any type of smoothing or previous baseline correction method, providing more consistent results for different spectra. See <doi:10.1093/bioinformatics/btl355} for further details.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

41 13 exported

Complexity

6.4 avg / 24 max

Call network

41 nodes / 38 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

4,251

Files

62

Compiled share

12.2%

Has compiled src

Yes

Language breakdown

R 1,919 (45.1%)C/C++/src 518 (12.2%)Tests 15 (0.4%)Docs 1,226 (28.8%)Vignettes 573 (13.5%)

API

Exported functions

13

Internal functions

14

Testing & CI

Has tests

Yes

Test-to-code ratio

0.01

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

LGPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

39

First release

2007-04-24

Latest release

2026-07-06

Avg cadence

184 days

Cold removal rate

Dep drift

1

LOC over versions

v2.0: 1,510 LOCv2.1: 1,510 LOCv2.2: 1,524 LOCv2.3: 1,524 LOCv2.4: 1,669 LOCv2.5: 1,673 LOCv2.6: 1,673 LOCv2.7: 1,673 LOCv2.8: 1,673 LOCv2.9: 1,673 LOCv2.10: 1,673 LOCv2.11: 1,673 LOCv2.12: 1,673 LOCv2.13: 1,673 LOCv2.14: 1,872 LOCv3.0: 1,872 LOCv3.1: 1,872 LOCv3.2: 1,872 LOCv3.3: 1,872 LOCv3.4: 1,872 LOCv3.5: 1,872 LOCv3.6: 1,872 LOCv3.7: 1,872 LOCv3.8: 1,872 LOCv3.9: 1,872 LOCv3.10: 1,872 LOCv3.11: 1,872 LOCv3.12: 1,872 LOCv3.13: 1,872 LOCv3.14: 1,872 LOCv3.15: 1,831 LOCv3.16: 4,032 LOCv3.17: 4,032 LOCv3.18: 4,032 LOCv3.19: 4,032 LOCv3.20: 4,032 LOCv3.21: 4,032 LOCv3.22: 4,206 LOCv3.23: 4,251 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
93%
Return-value docs
100%
References docs
23%

Topics

Depended on by (9)

Bioconductor (3)

CRAN (6)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MassSpecWavelet")
Oller Moreno, S., Du, P., Kibbe, W., & Lin, S. (2026). MassSpecWavelet: Peak Detection for Mass Spectrometry data using wavelet-based algorithms (Version 1.78.2) [Computer software]. https://bioconductor.org/packages/MassSpecWavelet

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 MassSpecWavelet version 1.78.2 [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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