Package: yamss
Version: 1.37.0
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
git_url: https://git.bioconductor.org/packages/yamss
git_branch: devel
git_last_commit: 9695dd5
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
