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

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.

Getting started

Package details

AuthorAndrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas
Bioconductor views Cheminformatics Lipidomics Metabolomics QualityControl SystemsBiology
MaintainerAndrea Rodriguez-Martinez <>, Rafael Ayala <>
LicenseCC BY-NC-ND 4.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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MWASTools documentation built on Nov. 8, 2020, 5:07 p.m.