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

doi:10.1093/bioinformatics/btx477

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

Bristol Medical School (THS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

17 Citations (Scopus)

384 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 language	English
Pages (from-to)	890-892
Number of pages	3
Journal	Bioinformatics
Volume	34
Issue number	5
Early online date	26 Jul 2017
DOIs	https://doi.org/10.1093/bioinformatics/btx477
Publication status	Published - 1 Mar 2018

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Final published version, 152 KBLicence: CC BY

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title = "MWASTools: An R/bioconductor package for metabolome-wide association studies",

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.",

author = "Andrea Rodriguez-Martinez and Posma, \{Joram M.\} and Rafael Ayala and Neves, \{Ana L.\} and Maryam Anwar and Enrico Petretto and Costanza Emanueli and Dominique Gauguier and Nicholson, \{Jeremy K.\} and Dumas, \{Marc Emmanuel\}",

year = "2018",

month = mar,

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doi = "10.1093/bioinformatics/btx477",

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volume = "34",

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T2 - An R/bioconductor package for metabolome-wide association studies

AU - Rodriguez-Martinez, Andrea

AU - Posma, Joram M.

AU - Ayala, Rafael

AU - Neves, Ana L.

AU - Anwar, Maryam

AU - Petretto, Enrico

AU - Emanueli, Costanza

AU - Gauguier, Dominique

AU - Nicholson, Jeremy K.

AU - Dumas, Marc Emmanuel

PY - 2018/3/1

Y1 - 2018/3/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85042940639

U2 - 10.1093/bioinformatics/btx477

DO - 10.1093/bioinformatics/btx477

M3 - Article (Academic Journal)

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SN - 1367-4811

VL - 34

SP - 890

EP - 892

JO - Bioinformatics

JF - Bioinformatics

IS - 5

ER -

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

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Resubmmission of MicroRNAs in ischaemic heart disease and diabetes mellitus: from cardiac surgery to basic science - and back

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

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Resubmmission of MicroRNAs in ischaemic heart disease and diabetes mellitus: from cardiac surgery to basic science - and back

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