Package: yamss
Version: 1.39.0
Title: Tools for high-throughput metabolomics
Description: Tools to analyze and visualize high-throughput
        metabolomics data aquired using chromatography-mass
        spectrometry. These tools preprocess data in a way that enables
        reliable and powerful differential analysis. At the core of
        these methods is a peak detection phase that pools information
        across all samples simultaneously. This is in contrast to other
        methods that detect peaks in a sample-by-sample basis.
Authors@R: c(
      person("Leslie", "Myint", role = c("cre", "aut"), email = "leslie.myint@gmail.com", comment = c(ORCID = "0000-0003-2478-0331")),
      person(c("Kasper", "Daniel"), "Hansen", role = "aut"))
Depends: R (>= 4.3.0), methods, BiocGenerics (>= 0.15.3),
        SummarizedExperiment
Suggests: BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat
Imports: IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table,
        grDevices, limma
VignetteBuilder: knitr
License: Artistic-2.0
URL: https://github.com/hansenlab/yamss
BugReports: https://github.com/hansenlab/yamss/issues
biocViews: MassSpectrometry, Metabolomics, PeakDetection, Software
Config/pak/sysreqs: cmake libfftw3-dev make libjpeg-dev libpng-dev
        libtiff-dev libuv1-dev libnetcdf-dev libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:44:37 UTC
RemoteUrl: https://github.com/bioc/yamss
RemoteRef: HEAD
RemoteSha: 6ffd7977679d305276b84fd86396397f095210e9
NeedsCompilation: no
Packaged: 2026-07-11 05:46:27 UTC; root
Author: Leslie Myint [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-2478-0331>),
  Kasper Daniel Hansen [aut]
Maintainer: Leslie Myint <leslie.myint@gmail.com>