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Markov processes are an omnipresent modeling approach in the applied sciences. In systems biology they are used to describe noisy cellular processes, that is, processes where the discreteness and randomness of molecular interactions significantly influences the systems behavior. The main focus of the ALMA group is on Markov models of noisy biochemical reaction networks, which pose large computational challenges. Besides the development of approximate analysis and inference techniques, we investigate stochastic phenomena such as multistability and oscillatory behavior.
