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

Andrea RodriguezMartinez | Zendy; Joram M. Posma | Zendy; Rafael Ayala | Zendy; Ana Luísa Neves | Zendy; Maryam Anwar | Zendy; Enrico Petretto | Zendy; Costanza Emanueli | Zendy; Dominique Gauguier | Zendy; Jeremy K. Nicholson | Zendy; MarcEmmanuel Dumas | Zendy

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

Author(s) -

Andrea RodriguezMartinez,

Joram M. Posma,

Rafael Ayala,

Ana Luísa Neves,

Maryam Anwar,

Enrico Petretto,

Costanza Emanueli,

Dominique Gauguier,

Jeremy K. Nicholson,

MarcEmmanuel Dumas

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx477

Subject(s) - bioconductor , metabolome , pipeline (software) , computer science , r package , data mining , visualization , statistical model , association (psychology) , software , computational biology , bioinformatics , metabolomics , biology , artificial intelligence , programming language , genetics , philosophy , epistemology , gene

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.

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