Package: MWASTools
Type: Package
Title: MWASTools: an integrated pipeline to perform metabolome-wide
        association studies
Version: 1.37.0
Date: 2021-11-18
Author: Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L.
        Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas
Maintainer: Andrea Rodriguez-Martinez
 <andrea.rodriguez-martinez13@imperial.ac.uk>, Rafael Ayala
 <rafael.ayala@oist.jp>
Description: MWASTools provides a complete pipeline to perform
        metabolome-wide association studies. Key functionalities of the
        package include: quality control analysis of metabonomic data;
        MWAS using different association models (partial correlations;
        generalized linear models); model validation using
        non-parametric bootstrapping; visualization of MWAS results;
        NMR metabolite identification using STOCSY; and biological
        interpretation of MWAS results.
License: CC BY-NC-ND 4.0
Depends: R (>= 3.5.0)
Suggests: RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown
VignetteBuilder: knitr
Imports: glm2, ppcor, qvalue, car, boot, grid, ggplot2, gridExtra,
        igraph, SummarizedExperiment, KEGGgraph, RCurl, KEGGREST,
        ComplexHeatmap, stats, utils
biocViews: Metabolomics, Lipidomics, Cheminformatics, SystemsBiology,
        QualityControl
NeedsCompilation: no
LazyData: true
Encoding: UTF-8
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libxml2-dev libssl-dev perl zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:44:43 UTC
RemoteUrl: https://github.com/bioc/MWASTools
RemoteRef: HEAD
RemoteSha: a673364d206e73e97c470cba4011f5bd7e3ddeae
Packaged: 2026-07-15 05:25:21 UTC; root