This is the released version of MWASTools; for the devel version, see MWASTools.
MWASTools: an integrated pipeline to perform metabolome-wide association studiesBioconductor version: Release (3.21)
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.
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 at imperial.ac.uk>, Rafael Ayala <rafael.ayala at oist.jp>
Citation (from within R, entercitation("MWASTools")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MWASTools")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MWASTools")Follow Installation instructions to use this package in your R session.
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