Complex Data Analysis in Life Sciences and Biotechnology
Biological Systems are complex systems in which the interaction of multiple molecules allows reactions to occur that eventually are the basis for life. Techniques used until now in Biology have only allowed partial insights into biological systems. Recently developed, novel technologies mainly based on nanotechnology, mass spectrometry and imaging now allow capturing the complex components and interactions of biological systems in their entirety. The resulting large datasets, however, confront biologists with new challenges, as they need to be stored in a structured manner for sustainable use and require new algorithms for their evaluation. The projects in BioComp aim at generating complex, quantitative data on specific biological questions, which are handled and evaluated in close collaboration with scientists from Computer science and Mathematics. Models resulting from such data sets again allow Mathematicians to ask new questions and to develop novel mathematical methods and algorithms.