Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/107941
Title: An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)
Author: Fernández Albert, Francesc
Llorach, Rafael
Andrés Lacueva, Ma. Cristina
Perera Lluna, Alexandre
Keywords: Cromatografia de líquids d'alta resolució
Espectrometria de masses
Metabòlits
High performance liquid chromatography
Mass spectrometry
Metabolites
Issue Date: 17-Mar-2014
Publisher: Oxford University Press
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/.
Note: Reproducció del document publicat a: https://doi.org/10.1093/bioinformatics/btu136
It is part of: Bioinformatics, 2014, vol. 30, num. 13, p. 1937-1938
Related resource: https://doi.org/10.1093/bioinformatics/btu136
URI: http://hdl.handle.net/2445/107941
ISSN: 1367-4803
Appears in Collections:Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

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