Package: MWASTools
Type: Package
Title: MWASTools: an integrated pipeline to perform metabolome-wide
        association studies
Version: 1.22.0
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
git_url: https://git.bioconductor.org/packages/MWASTools
git_branch: RELEASE_3_16
git_last_commit: 285588c
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
Packaged: 2022-11-01 22:20:09 UTC; biocbuild
Built: R 4.2.1; ; 2022-11-02 04:40:05 UTC; unix
