Section III

Research Group: Integrated Food Systems Analysis

In the Integrated Food Systems Analysis research group (focus: integrative multiomics analyses), complex data sets from innovative high-throughput technologies from sections I and II (e.g., mass spectrometric metabolome, proteome, transcriptome, and genome data) are analyzed in an integrative manner using machine learning methods in combination with network enrichment tools or by applying bi-clustering algorithms in order to predict new effector systems.