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MWASTools

MWASTools: an integrated pipeline to perform metabolome-wide association studies

Bioconductor version: 3.23 · Package version: 1.36.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MWASTools")

Details

MaintainerAndrea Rodriguez-Martinez <andrea.rodriguez-martinez13@imperial.ac.uk>, Rafael Ayala <rafael.ayala@oist.jp>
AuthorAndrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas
LicenseCC BY-NC-ND 4.0
Downloads rank591
Source branchRELEASE_3_23
biocViewsCheminformatics, Lipidomics, Metabolomics, QualityControl, Software, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMWASTools_1.36.0.tar.gz
Windows binary (x86_64)MWASTools_1.36.0.zip
macOS binary (arm64)MWASTools_1.36.0.tgz
macOS binary (x86_64)MWASTools_1.36.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: glm2, ppcor, qvalue, car, boot, grid, ggplot2, gridExtra, igraph, SummarizedExperiment, KEGGgraph, RCurl, KEGGREST, ComplexHeatmap, stats, utils

Suggests: RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown

Reverse dependencies

Imports Me (1): MetaboSignal