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Oxford University Press (OUP), Bioinformatics, 19(29), p. 2452-2459

DOI: 10.1093/bioinformatics/btt414

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MeltDB 2.0–advances of the metabolomics software system

Journal article published in 2013 by Nikolas Kessler, Heiko Neuweger, Anja Bonte, Georg Langenkämper, Karsten Niehaus, Tim W. Nattkemper ORCID, Alexander Goesmann
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.