We are a small research group in the Department of Genetics and Institute of Bioinformatics at the University of Georgia working on various aspects of genome biology. We use diverse computational methods to better understand genome structure, function and evolution. Our work capitalizes on the growing volume of genomic data available over the last two decades, which offers an unparalleled opportunity for biological discovery in 21st century.
The basic rationale underlying research in the lab is that evolutionary processes have encoded functional and historical signals in genomes that can be decoded using computational and statistical methods. Using in silico techniques, we aim to infer the mechanistic and evolutionary forces that have shaped modern eukaryotic genomes over long periods of time in their natural environments. This inferential approach complements classical experimental methods in biology, and has the potential to reveal deep insights into biological processes that are not possible using in vitro or in vivo methods.
We place a high priority on collaboration, scholarship, craftsmanship and openness in the lab, and welcome inquries about joining the lab or new projects with experimental or computer scientists. For more information, please visit our Research or Publications pages, contact me by email or visit us in the Davison Life Sciences Building (building 1057 on the campus map or click the Bergman Lab link on Google Maps).