Simplifying complexity in metabolomics

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


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.

Publication types

  • Comment

MeSH terms

  • Metabolome*
  • Metabolomics*
  • Streptomyces coelicolor / metabolism*