MWASTools: MWASTools: an integrated pipeline to perform metabolome-wide association studies
Version 1.2.0

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.

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 <[email protected]>, Rafael Ayala <[email protected]>
LicenseCC BY-NC-ND 4.0
Version1.2.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("MWASTools")

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MWASTools documentation built on Nov. 17, 2017, 1:05 p.m.