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MassSpecWavelet

Peak Detection for Mass Spectrometry data using wavelet-based algorithms

Bioconductor version: 3.23 · Package version: 1.78.2

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MassSpecWavelet")

Details

MaintainerSergio Oller Moreno <sergioller@gmail.com>
AuthorPan Du [aut], Warren Kibbe [aut], Simon Lin [aut], Sergio Oller Moreno [aut, cre] (ORCID: <https://orcid.org/0000-0002-8994-1549>)
LicenseLGPL (>= 2)
URLhttps://github.com/zeehio/MassSpecWavelet
Bug Reportshttp://github.com/zeehio/MassSpecWavelet/issues
Downloads rank2684
Source branchRELEASE_3_23
biocViewsImmunoOncology, MassSpectrometry, PeakDetection, Proteomics, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMassSpecWavelet_1.78.2.tar.gz
Windows binary (x86_64)MassSpecWavelet_1.78.2.zip
macOS binary (arm64)MassSpecWavelet_1.78.2.tgz
macOS binary (x86_64)MassSpecWavelet_1.78.2.tgz
Dependencies

Suggests: signal, waveslim, BiocStyle, knitr, rmarkdown, RUnit, bench

Reverse dependencies

Imports Me (5): cosmiq, NMRphasing, Rnmr1D, speaq, xcms

Suggests Me (3): downlit, metabodecon, metabodeconplus