An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)

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RECERCAT Home > Universitat de Barcelona > Nutrició, Ciències de l'Alimentació i Gastronomia > Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) > View document

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dc.contributor	Universitat de Barcelona
dc.contributor.author	Fernández Albert, Francesc
dc.contributor.author	Llorach, Rafael
dc.contributor.author	Andrés Lacueva, Ma. Cristina
dc.contributor.author	Perera Lluna, Alexandre
dc.date	2017-03-06T13:28:19Z
dc.date	2017-03-06T13:28:19Z
dc.date	2014-03-17
dc.date	2017-03-06T13:28:19Z
dc.identifier.citation	1367-4803
dc.identifier.citation	644325
dc.identifier.uri	http://hdl.handle.net/2445/107941
dc.format	2 p.
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Oxford University Press
dc.relation	Reproducció del document publicat a: https://doi.org/10.1093/bioinformatics/btu136
dc.relation	Bioinformatics, 2014, vol. 30, num. 13, p. 1937-1938
dc.relation	https://doi.org/10.1093/bioinformatics/btu136
dc.rights	cc-by-nc (c) , 2014
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc/3.0/es
dc.subject	Cromatografia de líquids d'alta resolució
dc.subject	Espectrometria de masses
dc.subject	Metabòlits
dc.subject	High performance liquid chromatography
dc.subject	Mass spectrometry
dc.subject	Metabolites
dc.title	An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Current tools for liquid chromatography and mass spectrometry for metabolomic data cover a limited number of processing steps, whereas online tools are hard to use in a programmable fashion. This article introduces the Metabolite Automatic Identification Toolkit (MAIT) package, which makes it possible for users to perform metabolomic end-to-end liquid chromatography and mass spectrometry data analysis. MAIT is focused on improving the peak annotation stage and provides essential tools to validate statistical analysis results. MAIT generates output files with the statistical results, peak annotation and metabolite identification. AVAILABILITY AND IMPLEMENTATION: http://b2slab.upc.edu/software-and-downloads/metabolite-automatic-identification-toolkit/.

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