An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)
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 possib...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/107941 |
| Acceso en línea: | https://hdl.handle.net/2445/107941 |
| Access Level: | acceso abierto |
| Palabra clave: | Cromatografia de líquids d'alta resolució Espectrometria de masses Metabòlits High performance liquid chromatography Mass spectrometry Metabolites |
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An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)Fernández Albert, FrancescLlorach, RafaelAndrés Lacueva, Ma. CristinaPerera Lluna, AlexandreCromatografia de líquids d'alta resolucióEspectrometria de massesMetabòlitsHigh performance liquid chromatographyMass spectrometryMetabolitesCurrent 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/.Oxford University Press2017201720142017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion2 p.application/pdfhttps://hdl.handle.net/2445/107941Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1093/bioinformatics/btu136Bioinformatics, 2014, vol. 30, num. 13, p. 1937-1938https://doi.org/10.1093/bioinformatics/btu136cc-by-nc (c) , 2014http://creativecommons.org/licenses/by-nc/3.0/esinfo:eu-repo/semantics/openAccessoai:recercat.cat:2445/1079412026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| title |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| spellingShingle |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) Fernández Albert, Francesc Cromatografia de líquids d'alta resolució Espectrometria de masses Metabòlits High performance liquid chromatography Mass spectrometry Metabolites |
| title_short |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| title_full |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| title_fullStr |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| title_full_unstemmed |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| title_sort |
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit) |
| dc.creator.none.fl_str_mv |
Fernández Albert, Francesc Llorach, Rafael Andrés Lacueva, Ma. Cristina Perera Lluna, Alexandre |
| author |
Fernández Albert, Francesc |
| author_facet |
Fernández Albert, Francesc Llorach, Rafael Andrés Lacueva, Ma. Cristina Perera Lluna, Alexandre |
| author_role |
author |
| author2 |
Llorach, Rafael Andrés Lacueva, Ma. Cristina Perera Lluna, Alexandre |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Cromatografia de líquids d'alta resolució Espectrometria de masses Metabòlits High performance liquid chromatography Mass spectrometry Metabolites |
| topic |
Cromatografia de líquids d'alta resolució Espectrometria de masses Metabòlits High performance liquid chromatography Mass spectrometry Metabolites |
| description |
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/. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014 2017 2017 2017 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/107941 |
| url |
https://hdl.handle.net/2445/107941 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Reproducció del document publicat a: https://doi.org/10.1093/bioinformatics/btu136 Bioinformatics, 2014, vol. 30, num. 13, p. 1937-1938 https://doi.org/10.1093/bioinformatics/btu136 |
| dc.rights.none.fl_str_mv |
cc-by-nc (c) , 2014 http://creativecommons.org/licenses/by-nc/3.0/es info:eu-repo/semantics/openAccess |
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cc-by-nc (c) , 2014 http://creativecommons.org/licenses/by-nc/3.0/es |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
2 p. application/pdf |
| dc.publisher.none.fl_str_mv |
Oxford University Press |
| publisher.none.fl_str_mv |
Oxford University Press |
| dc.source.none.fl_str_mv |
Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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