Director: Prof. Dr. Björn Usadel
Whole genomes and transcriptomes of various economically relevant plant species obtained from sequencing results in large amounts of data that have to be processed and analysed. The group develops algorithms and tools and implements machine learning to investigate and visualize big data. Finally, to facilitate public data access, the group designs and hosts databases with user-friendly interfaces. Combinations of theoretical and experimental research are used to identify and validate novel candidate genes involved in improved yield and plant robustness against environmental stressors.
The group focuses on five research areas:
News and awards in the group Omics-/Data-based Bioinformatics
The aim of the research area Quantitative Bioeconomy is to establish or optimize the utilisation of plants and agricultural or horticultural plant residuals for extraction of plant compounds for bioeconomy. In addition, adaptation mechanisms of the plant to environmental stresse are used to modify plants and their metabolism or their gene expression in a targeted manner.