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MeltDB 2.0–advances of the metabolomics software system

Motivation: The research area metabolomics achieved tremendous popularity and development in the last couple of years. Owing to its unique interdisciplinarity, it requires to combine knowledge from various scientific disciplines. Advances in the high-throughput technology and the consequently growin...

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Autores principales: Kessler, Nikolas, Neuweger, Heiko, Bonte, Anja, Langenkämper, Georg, Niehaus, Karsten, Nattkemper, Tim W., Goesmann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777109/
https://www.ncbi.nlm.nih.gov/pubmed/23918246
http://dx.doi.org/10.1093/bioinformatics/btt414
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author Kessler, Nikolas
Neuweger, Heiko
Bonte, Anja
Langenkämper, Georg
Niehaus, Karsten
Nattkemper, Tim W.
Goesmann, Alexander
author_facet Kessler, Nikolas
Neuweger, Heiko
Bonte, Anja
Langenkämper, Georg
Niehaus, Karsten
Nattkemper, Tim W.
Goesmann, Alexander
author_sort Kessler, Nikolas
collection PubMed
description Motivation: The research area metabolomics achieved tremendous popularity and development in the last couple of years. Owing to its unique interdisciplinarity, it requires to combine knowledge from various scientific disciplines. Advances in the high-throughput technology and the consequently growing quality and quantity of data put new demands on applied analytical and computational methods. Exploration of finally generated and analyzed datasets furthermore relies on powerful tools for data mining and visualization. Results: To cover and keep up with these requirements, we have created MeltDB 2.0, a next-generation web application addressing storage, sharing, standardization, integration and analysis of metabolomics experiments. New features improve both efficiency and effectivity of the entire processing pipeline of chromatographic raw data from pre-processing to the derivation of new biological knowledge. First, the generation of high-quality metabolic datasets has been vastly simplified. Second, the new statistics tool box allows to investigate these datasets according to a wide spectrum of scientific and explorative questions. Availability: The system is publicly available at https://meltdb.cebitec.uni-bielefeld.de. A login is required but freely available. Contact: nkessler@cebitec.uni-bielefeld.de
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spelling pubmed-37771092013-09-22 MeltDB 2.0–advances of the metabolomics software system Kessler, Nikolas Neuweger, Heiko Bonte, Anja Langenkämper, Georg Niehaus, Karsten Nattkemper, Tim W. Goesmann, Alexander Bioinformatics Original Papers Motivation: The research area metabolomics achieved tremendous popularity and development in the last couple of years. Owing to its unique interdisciplinarity, it requires to combine knowledge from various scientific disciplines. Advances in the high-throughput technology and the consequently growing quality and quantity of data put new demands on applied analytical and computational methods. Exploration of finally generated and analyzed datasets furthermore relies on powerful tools for data mining and visualization. Results: To cover and keep up with these requirements, we have created MeltDB 2.0, a next-generation web application addressing storage, sharing, standardization, integration and analysis of metabolomics experiments. New features improve both efficiency and effectivity of the entire processing pipeline of chromatographic raw data from pre-processing to the derivation of new biological knowledge. First, the generation of high-quality metabolic datasets has been vastly simplified. Second, the new statistics tool box allows to investigate these datasets according to a wide spectrum of scientific and explorative questions. Availability: The system is publicly available at https://meltdb.cebitec.uni-bielefeld.de. A login is required but freely available. Contact: nkessler@cebitec.uni-bielefeld.de Oxford University Press 2013-10-01 2013-08-05 /pmc/articles/PMC3777109/ /pubmed/23918246 http://dx.doi.org/10.1093/bioinformatics/btt414 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Kessler, Nikolas
Neuweger, Heiko
Bonte, Anja
Langenkämper, Georg
Niehaus, Karsten
Nattkemper, Tim W.
Goesmann, Alexander
MeltDB 2.0–advances of the metabolomics software system
title MeltDB 2.0–advances of the metabolomics software system
title_full MeltDB 2.0–advances of the metabolomics software system
title_fullStr MeltDB 2.0–advances of the metabolomics software system
title_full_unstemmed MeltDB 2.0–advances of the metabolomics software system
title_short MeltDB 2.0–advances of the metabolomics software system
title_sort meltdb 2.0–advances of the metabolomics software system
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777109/
https://www.ncbi.nlm.nih.gov/pubmed/23918246
http://dx.doi.org/10.1093/bioinformatics/btt414
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