title: Simplifying complexity in metabolomics.
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.
authors.affiliation: Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany.
authors.forename: Katharina
authors.initials: K
authors.lastname: Eick
authors.affiliation: Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany. Electronic address: Georg.Pohnert@uni-jena.de.
authors.forename: Georg
authors.initials: G
authors.lastname: Pohnert
mesh_terms: D055442:Metabolome; D055432:Metabolomics; D048372:Streptomyces coelicolor / Q000378:metabolism*