The Bioinformatics Group develops computer methods to perform biological research. We design algorithms and set up models to analyze -omics data, mainly DNA (genomics) and RNA (transcriptomics). We aim to get as much information out of the data as possible, to optimally combine new measurements with knowledge already available and to use models to predict what new experiments to perform.
In a short presentation, we will discuss some challenges we encounter in piecing together complex plant genomes (Dick de Ridder) and how we mine these genomes for groups of genes that generate interesting chemical compounds, so-called secondary metabolites (Marnix Medema).
PSG, bioinformatica, Dick de Ridder lezing