At the Zhulin lab, we try to understand what new we can learn about biology by using computational genomic approaches. We apply computational analyses to best characterized biological systems in order to reveal novel functional features that cannot be obtained by experimental techniques alone.  We are interested in fundamental biological processes, such as signal transduction, gene regulation and protein-protein interactions, which we study through the prism of molecular evolution, using an array of bioinformatics tools deployed on hardware ranging from desktop workstations to supercomputers.  Our work leads to better understanding of biological systems and have direct applications to medicine, environment, bioenergy, and agriculture.

Our credo is simple: Nature has already performed millions of genetic experiments; all we need to do is to carefully analyze the results. Most of our studies generate testable hypotheses that are often taken directly into experiment by our colleagues in “wet” laboratories.