In this research theme we use mathematical models to further understand the functioning of microbial systems. We do so by studying genomes of microbes and analysing and combining multiple information types.
We are especially interested in:
- How genome information leads to function.
- How microbial metabolic processes are regulated and adapt in extant species.
- How microbial organisms and ecosystems respond to (a)biotic environmental cues.
- How they can be manipulated to enhance the yield of desired products or to diminish their pathogenicity.
Our computational methods include genome-scale metabolic modelling (GEM) of single organisms and communities, kinetic models based on differential equations and statistical methods for omics data exploration and integration.