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Chem Biol. 2015 May 21;22(5):567-8. doi: 10.1016/j.chembiol.2015.05.001.

Simplifying complexity in metabolomics.

Author information

1
Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany.
2
Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany. Electronic address: Georg.Pohnert@uni-jena.de.

Abstract

Metabolomics analysis to unravel secondary metabolite dynamics in microorganisms faces the challenge of immense data sets and complex experimental setups. In this issue, Goodwin et al. present a multiple stimuli approach combined with self-organizing map-based analysis to elucidate variations in the metabolome of Streptomyces coelicolor caused by biotic and environmental perturbations.

PMID:
26000745
DOI:
10.1016/j.chembiol.2015.05.001
[Indexed for MEDLINE]
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