Dr. Jouline’s lab develops and applies computational genomics approaches to best characterized biological processes in order to reveal novel functional features that cannot be obtained by experimental techniques alone. In this work, they use an array of bioinformatics tools – from sensitive similarity searches to phylogenetics and structure prediction – and several tiers of hardware – from workstations and stand-alone servers to Linux clusters and supercomputers.
Dr. Jouline and his team are interested in fundamental biological questions, such as signal transduction, gene regulation and protein-protein interactions, which they study through the prism of molecular evolution. Their main focus is on prokaryotes, but they also apply approaches developed with bacterial systems to human genes that are implicated in diseases ranging from rare Mendelian disorders to cancer. His lab’s credo: “Nature has already performed millions of genetic experiments; all we need to do is to carefully analyze the results.” Most of Dr. Jouline’s studies generate testable hypotheses that are often taken directly into experiment by his colleagues in “wet” laboratories.
Dr. Jouline co-directs TDAI’s Computational Health & Life Sciences research community of practice.