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

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Title: MWASTools: an R/Bioconductor package for metabolome-wide association studies
Authors: Rodriguez Martinez, A
Posma, JM
Ayala, R
Neves, AL
Anwar, M
Petretto, E
Emanueli, C
Gauguier, D
Nicholson, JK
Dumas, M
Item Type: Journal Article
Abstract: Summary: MWASTools is an R package designed to provide an integrated pipeline to analyze 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 MWAS results. Availability: The MWASTools R package is implemented in R (version > =3.4) and is available from Bioconductor:
Issue Date: 26-Jul-2017
Date of Acceptance: 15-Jul-2017
ISSN: 1367-4803
Publisher: Oxford University Press (OUP)
Start Page: 890
End Page: 892
Journal / Book Title: Bioinformatics
Volume: 34
Issue: 5
Copyright Statement: © The Author 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( 4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Commission of the European Communities
Medical Research Council
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: 305312
Keywords: 01 Mathematical Sciences
06 Biological Sciences
08 Information And Computing Sciences
Publication Status: Published
Appears in Collections:Division of Surgery
Clinical Sciences
Molecular Sciences
Department of Medicine
Faculty of Medicine
Epidemiology, Public Health and Primary Care

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