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MIA: non-targeted mass isotopolome analysis

Summary: MIA detects and visualizes isotopic enrichment in gas chromatography electron ionization mass spectrometry (GC–EI-MS) datasets in a non-targeted manner. It provides an easy-to-use graphical user interface that allows for visual mass isotopomer distribution analysis across multiple datasets....

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Detalles Bibliográficos
Autores principales: Weindl, Daniel, Wegner, Andre, Hiller, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018370/
https://www.ncbi.nlm.nih.gov/pubmed/27273671
http://dx.doi.org/10.1093/bioinformatics/btw317
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author Weindl, Daniel
Wegner, Andre
Hiller, Karsten
author_facet Weindl, Daniel
Wegner, Andre
Hiller, Karsten
author_sort Weindl, Daniel
collection PubMed
description Summary: MIA detects and visualizes isotopic enrichment in gas chromatography electron ionization mass spectrometry (GC–EI-MS) datasets in a non-targeted manner. It provides an easy-to-use graphical user interface that allows for visual mass isotopomer distribution analysis across multiple datasets. MIA helps to reveal changes in metabolic fluxes, visualizes metabolic proximity of isotopically enriched compounds and shows the fate of the applied stable isotope labeled tracer. Availability and Implementation: Linux and Windows binaries, documentation, and sample data are freely available for download at http://massisotopolomeanalyzer.lu. MIA is a stand-alone application implemented in C ++  and based on Qt5, NTFD and the MetaboliteDetector framework. Contact: karsten.hiller@uni.lu
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spelling pubmed-50183702016-09-12 MIA: non-targeted mass isotopolome analysis Weindl, Daniel Wegner, Andre Hiller, Karsten Bioinformatics Applications Notes Summary: MIA detects and visualizes isotopic enrichment in gas chromatography electron ionization mass spectrometry (GC–EI-MS) datasets in a non-targeted manner. It provides an easy-to-use graphical user interface that allows for visual mass isotopomer distribution analysis across multiple datasets. MIA helps to reveal changes in metabolic fluxes, visualizes metabolic proximity of isotopically enriched compounds and shows the fate of the applied stable isotope labeled tracer. Availability and Implementation: Linux and Windows binaries, documentation, and sample data are freely available for download at http://massisotopolomeanalyzer.lu. MIA is a stand-alone application implemented in C ++  and based on Qt5, NTFD and the MetaboliteDetector framework. Contact: karsten.hiller@uni.lu Oxford University Press 2016-09-15 2016-06-06 /pmc/articles/PMC5018370/ /pubmed/27273671 http://dx.doi.org/10.1093/bioinformatics/btw317 Text en © The Author 2016. 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
Weindl, Daniel
Wegner, Andre
Hiller, Karsten
MIA: non-targeted mass isotopolome analysis
title MIA: non-targeted mass isotopolome analysis
title_full MIA: non-targeted mass isotopolome analysis
title_fullStr MIA: non-targeted mass isotopolome analysis
title_full_unstemmed MIA: non-targeted mass isotopolome analysis
title_short MIA: non-targeted mass isotopolome analysis
title_sort mia: non-targeted mass isotopolome analysis
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018370/
https://www.ncbi.nlm.nih.gov/pubmed/27273671
http://dx.doi.org/10.1093/bioinformatics/btw317
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