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MeltDB: a software platform for the analysis and integration of metabolomics experiment data
Author(s) -
Heiko Neuweger,
Stefan P. Albaum,
Michael Dondrup,
Marcus Persicke,
Tony Watt,
Karsten Niehaus,
Jens Stoye,
Alexander Goesmann
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn452
Subject(s) - computer science , software , context (archaeology) , visualization , preprocessor , metabolomics , raw data , data mining , data integration , process (computing) , data science , bioinformatics , artificial intelligence , biology , paleontology , programming language , operating system
The recent advances in metabolomics have created the potential to measure the levels of hundreds of metabolites which are the end products of cellular regulatory processes. The automation of the sample acquisition and subsequent analysis in high-throughput instruments that are capable of measuring metabolites is posing a challenge on the necessary systematic storage and computational processing of the experimental datasets. Whereas a multitude of specialized software systems for individual instruments and preprocessing methods exists, there is clearly a need for a free and platform-independent system that allows the standardized and integrated storage and analysis of data obtained from metabolomics experiments. Currently there exists no such system that on the one hand supports preprocessing of raw datasets but also allows to visualize and integrate the results of higher level statistical analyses within a functional genomics context.

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