MassSpecWavelet

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see MassSpecWavelet.

Peak Detection for Mass Spectrometry data using wavelet-based algorithms


Bioconductor version: 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 gmail.com>

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

Installation

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


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

BiocManager::install("MassSpecWavelet")

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

Documentation

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

browseVignettes("MassSpecWavelet")
Finding local maxima HTML R Script
Using the MassSpecWavelet package HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ImmunoOncology, MassSpectrometry, PeakDetection, Proteomics, Software
Version 1.70.0
In Bioconductor since BioC 2.0 (R-2.5) (17.5 years)
License LGPL (>= 2)
Depends
Imports
System Requirements
URL https://github.com/zeehio/MassSpecWavelet
Bug Reports http://github.com/zeehio/MassSpecWavelet/issues
See More
Suggests signal, waveslim, BiocStyle, knitr, rmarkdown, RUnit, bench
Linking To
Enhances
Depends On Me
Imports Me cosmiq, xcms, NMRphasing, Rnmr1D, speaq
Suggests Me downlit
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MassSpecWavelet_1.70.0.tar.gz
Windows Binary (x86_64) MassSpecWavelet_1.70.0.zip
macOS Binary (x86_64) MassSpecWavelet_1.70.0.tgz
macOS Binary (arm64) MassSpecWavelet_1.70.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MassSpecWavelet
Source Repository (Developer Access) git clone [email protected]:packages/MassSpecWavelet
Bioc Package Browser https://code.bioconductor.org/browse/MassSpecWavelet/
Package Short Url https://bioconductor.org/packages/MassSpecWavelet/
Package Downloads Report Download Stats