Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782284932935057408 |
---|---|
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 |
format | Online Article Text |
id | pubmed-3777109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kesslernikolas meltdb20advancesofthemetabolomicssoftwaresystem AT neuwegerheiko meltdb20advancesofthemetabolomicssoftwaresystem AT bonteanja meltdb20advancesofthemetabolomicssoftwaresystem AT langenkampergeorg meltdb20advancesofthemetabolomicssoftwaresystem AT niehauskarsten meltdb20advancesofthemetabolomicssoftwaresystem AT nattkempertimw meltdb20advancesofthemetabolomicssoftwaresystem AT goesmannalexander meltdb20advancesofthemetabolomicssoftwaresystem |