Package: MassSpecWavelet Type: Package Title: Peak Detection for Mass Spectrometry data using wavelet-based algorithms Version: 1.78.2 Encoding: UTF-8 Date: 2026-07-05 Authors@R: c( person(given = "Pan", family = "Du", role = c("aut")), person(given = "Warren", family = "Kibbe", role = c("aut")), person(given = "Simon", family = "Lin", role = c("aut")), person(given = "Sergio", family = "Oller Moreno", email = "sergioller@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8994-1549")) ) 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 = 2) Suggests: signal, waveslim, BiocStyle, knitr, rmarkdown, RUnit, bench biocViews: ImmunoOncology, MassSpectrometry, Proteomics, PeakDetection VignetteBuilder: knitr RoxygenNote: 7.3.2 Roxygen: list(markdown = TRUE) Repository: Bioconductor 3.23 Date/Publication: 2026-07-06 05:25:53 UTC RemoteUrl: https://github.com/bioc/MassSpecWavelet RemoteRef: RELEASE_3_23 RemoteSha: 37682e0ba0de640160595148c0c781f1026ee297 NeedsCompilation: yes Packaged: 2026-09-29 09:04:25 UTC; root Author: Pan Du [aut], Warren Kibbe [aut], Simon Lin [aut], Sergio Oller Moreno [aut, cre] (ORCID: ) Maintainer: Sergio Oller Moreno