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

Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Enrico Petretto, Costanza Emanueli, Dominique Gauguier, Jeremy K. Nicholson, Marc Emmanuel Dumas*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

5 Citations (Scopus)
316 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)890-892
Number of pages3
JournalBioinformatics
Volume34
Issue number5
Early online date26 Jul 2017
DOIs
Publication statusPublished - 1 Mar 2018

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