Bioinformatics and Systems Biology

The large-scale approaches of genomics proteomics etc. produce unprecedented amounts of biological information. To be useful these data need to be integrated into virtual models that describe biological processes and then to be aligned with experimental data. Such systems approaches in which theoretical modeling and experimental validation are paired ultimately aim at a holistic understanding of complex processes, such as cell growth, transformation, or development. A priority of graduate education in the GGD cluster is to provide the computational as well as experimental expertise that is required for such systems level analyses. The newly founded Center for Genomics and Systems Biology at U of R will expand this type of research significantly over the next few years. Topics that are currently studied with systems approaches are:

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