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MWASTools: an R/bioconductor package for metabolome-wide association studies
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, gen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049002/ https://www.ncbi.nlm.nih.gov/pubmed/28961702 http://dx.doi.org/10.1093/bioinformatics/btx477 |
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author | Rodriguez-Martinez, Andrea Posma, Joram M Ayala, Rafael Neves, Ana L Anwar, Maryam Petretto, Enrico Emanueli, Costanza Gauguier, Dominique Nicholson, Jeremy K Dumas, Marc-Emmanuel |
author_facet | Rodriguez-Martinez, Andrea Posma, Joram M Ayala, Rafael Neves, Ana L Anwar, Maryam Petretto, Enrico Emanueli, Costanza Gauguier, Dominique Nicholson, Jeremy K Dumas, Marc-Emmanuel |
author_sort | Rodriguez-Martinez, Andrea |
collection | PubMed |
description | 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6049002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60490022018-07-20 MWASTools: an R/bioconductor package for metabolome-wide association studies Rodriguez-Martinez, Andrea Posma, Joram M Ayala, Rafael Neves, Ana L Anwar, Maryam Petretto, Enrico Emanueli, Costanza Gauguier, Dominique Nicholson, Jeremy K Dumas, Marc-Emmanuel Bioinformatics Applications Notes 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-03-01 2017-07-26 /pmc/articles/PMC6049002/ /pubmed/28961702 http://dx.doi.org/10.1093/bioinformatics/btx477 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Rodriguez-Martinez, Andrea Posma, Joram M Ayala, Rafael Neves, Ana L Anwar, Maryam Petretto, Enrico Emanueli, Costanza Gauguier, Dominique Nicholson, Jeremy K Dumas, Marc-Emmanuel MWASTools: an R/bioconductor package for metabolome-wide association studies |
title | MWASTools: an R/bioconductor package for metabolome-wide association studies |
title_full | MWASTools: an R/bioconductor package for metabolome-wide association studies |
title_fullStr | MWASTools: an R/bioconductor package for metabolome-wide association studies |
title_full_unstemmed | MWASTools: an R/bioconductor package for metabolome-wide association studies |
title_short | MWASTools: an R/bioconductor package for metabolome-wide association studies |
title_sort | mwastools: an r/bioconductor package for metabolome-wide association studies |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049002/ https://www.ncbi.nlm.nih.gov/pubmed/28961702 http://dx.doi.org/10.1093/bioinformatics/btx477 |
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