Package: MassSpecWavelet
Type: Package
Title: Peak Detection for Mass Spectrometry data using wavelet-based
        algorithms
Version: 1.64.1
Encoding: UTF-8
Date: 2022-10-15
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 <doi:10.1093/bioinformatics/btl355} for further
 details.
URL: https://github.com/zeehio/MassSpecWavelet
BugReports: http://github.com/zeehio/MassSpecWavelet/issues
License: LGPL (>= 2)
Suggests: signal, waveslim, BiocStyle, knitr, rmarkdown, RUnit, bench
biocViews: ImmunoOncology, MassSpectrometry, Proteomics, PeakDetection
VignetteBuilder: knitr
RoxygenNote: 7.2.1
Roxygen: list(markdown = TRUE)
git_url: https://git.bioconductor.org/packages/MassSpecWavelet
git_branch: RELEASE_3_16
git_last_commit: 3d555a8
git_last_commit_date: 2023-01-30
Date/Publication: 2023-01-30
NeedsCompilation: yes
Packaged: 2023-01-31 00:33:00 UTC; biocbuild
Author: Pan Du [aut],
  Warren Kibbe [aut],
  Simon Lin [aut],
  Sergio Oller Moreno [aut, cre]
    (<https://orcid.org/0000-0002-8994-1549>)
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>
Built: R 4.2.2; x86_64-w64-mingw32; 2023-01-31 12:53:27 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
