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Bioinformatics. 2018 Mar 1;34(5):890-892. doi: 10.1093/bioinformatics/btx477.

MWASTools: an R/bioconductor package for metabolome-wide association studies.

Author information

1
Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK.
2
Division of Myocardial Function, National Heart and Lung Institute, Imperial College London, UK.
3
Duke-NUS Medical School, Singapore.
4
Bristol Heart Institute, University of Bristol, UK.

Abstract

Summary:

MWASTools is an R package designed to provide an integrated pipeline to analyse metabonomic data in large-scale epidemiological studies. Key functionalities of our package include: quality control analysis; metabolome-wide association analysis using various models (partial correlations, generalized linear models); visualization of statistical outcomes; metabolite assignment using statistical total correlation spectroscopy (STOCSY); and biological interpretation of metabolome-wide association studies results.

Availability and implementation:

The MWASTools R package is implemented in R (version  > =3.4) and is available from Bioconductor: https://bioconductor.org/packages/MWASTools/.

Contact:

m.dumas@imperial.ac.uk.

Supplementary information:

Supplementary data are available at Bioinformatics online.

PMID:
28961702
PMCID:
PMC6049002
DOI:
10.1093/bioinformatics/btx477
[Indexed for MEDLINE]
Free PMC Article

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