The increased efficiency of experimental methods has led to an unseen "information gain" in life sciences. Modern high-throughput molecular and imaging techniques generate up to terabytes of raw data in each experiment. We address the challenge to interconnect and interpret these data by developing novel and sophisticated computational and mathematical solutions. Computational Life Sciences is an interdisciplinary key research area. By combining biology and pharmacy with computer science, theoretical chemistry, mathematics, and software engineering, we develop computational methods and software programmes for understanding large-scale biomolecular data.
Speakers: Gerhard Ecker, Thomas Rattei