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Peak Detection for Mass Spectrometry data using wavelet-based algorithms

Bioconductor version: Release (3.19)

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

Author: Pan Du [aut], Warren Kibbe [aut], Simon Lin [aut], Sergio Oller Moreno [aut, cre]

Maintainer: Sergio Oller Moreno <sergioller at>

Citation (from within R, enter citation("MassSpecWavelet")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Finding local maxima HTML R Script
Using the MassSpecWavelet package HTML R Script
Reference Manual PDF


biocViews ImmunoOncology, MassSpectrometry, PeakDetection, Proteomics, Software
Version 1.70.0
In Bioconductor since BioC 2.0 (R-2.5) (17 years)
License LGPL (>= 2)
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Suggests signal, waveslim, BiocStyle, knitr, rmarkdown, RUnit, bench
Linking To
Depends On Me
Imports Me cosmiq, xcms, NMRphasing, Rnmr1D, speaq
Suggests Me downlit
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package MassSpecWavelet_1.70.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) MassSpecWavelet_1.70.0.tgz
macOS Binary (arm64) MassSpecWavelet_1.70.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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