We perform research in the broad area of Network Systems Biology with both high-throughput experimental and integrative computational methodologies, aiming to understand gene functions and their relationships within complex molecular networks and how perturbations to such systems may lead to various human diseases. The complexity of biological systems calls for building experimentally-verified computational models based on high-quality large-scale datasets, which is truly the future of biomedical research and the main theme of the lab. Our research is focused in five main areas: functional and comparative genomics, molecular and dynamic proteomics, structural proteomics and networks, algorithms and tools, and technology development.