title: MeltDB 2.0-advances of the metabolomics software system.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The system is publicly available at https://meltdb.cebitec.uni-bielefeld.de. A login is required but freely available.
authors.affiliation: Biodata Mining Group, CeBiTec, Bielefeld University, Bielefeld, Germany, Computational Genomics, CeBiTec, Bielefeld University, Bielefeld, Germany, Bruker Daltonik GmbH, Bremen, Germany, Proteome and Metabolome Research, Bielefeld University, Bielefeld, Germany and Max Rubner-Institute, Detmold, Germany.
authors.forename: Nikolas
authors.initials: N
authors.lastname: Kessler
authors.forename: Heiko
authors.initials: H
authors.lastname: Neuweger
authors.forename: Anja
authors.initials: A
authors.lastname: Bonte
authors.forename: Georg
authors.initials: G
authors.lastname: Langenkämper
authors.forename: Karsten
authors.initials: K
authors.lastname: Niehaus
authors.forename: Tim W
authors.initials: TW
authors.lastname: Nattkemper
authors.forename: Alexander
authors.initials: A
authors.lastname: Goesmann
mesh_terms: D016000:Cluster Analysis; D057225:Data Mining; D030541:Databases, Genetic; D020407:Internet; D055432:Metabolomics / Q000379:methods*; D012985:Software Design
references.citation: Nucleic Acids Res. 2009 Jul;37(Web Server issue):W652-60
references.pmid: 19429898
references.citation: Bioinformatics. 2008 Dec 1;24(23):2726-32
references.pmid: 18765459
references.citation: Anal Chem. 2006 Feb 1;78(3):779-87
references.pmid: 16448051
references.citation: BMC Syst Biol. 2009 Aug 23;3:82
references.pmid: 19698148
references.citation: Nat Biotechnol. 2004 Nov;22(11):1459-66
references.pmid: 15529173
references.citation: Anal Chem. 2012 Jan 3;84(1):283-9
references.pmid: 22111785
references.citation: Bioinformatics. 2005 Apr 15;21(8):1635-8
references.pmid: 15613389
references.citation: BMC Bioinformatics. 2010 Jul 14;11:376
references.pmid: 20626915
references.citation: Plant Mol Biol. 2002 Jan;48(1-2):155-71
references.pmid: 11860207
references.citation: Trends Plant Sci. 2004 Sep;9(9):418-25
references.pmid: 15337491
references.citation: BMC Bioinformatics. 2007 Mar 27;8:105
references.pmid: 17389044
references.citation: BMC Bioinformatics. 2008 Nov 28;9:504
references.pmid: 19040729
references.citation: Bioinformatics. 2009 Aug 15;25(16):2080-1
references.pmid: 19505941
references.citation: Proteomics. 2007 Oct;7(19):3436-40
references.pmid: 17907277