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Welcome to the Rosenberg Lab
Computational Evolutionary Biology and Bioinformatics
The Rosenberg Lab focuses on the use of computational and statistical techniques for better understanding the evolution of life. Our research spans a wide range of subjects within evolutionary biology and ecology, from molecular evolution to macroevolution and from single organisms to populations and ecosystems. Many issues in bioinformatics and genomics can only be evaluated in an evolutionary context; understanding the history of species, genes and the genome is essential to both measure parameters and to define patterns of mutation that lead to phenotypic differences among species or genetic disease.
We use a multi-faceted approach to computational evolutionary biology, but tend to focus on novel statistical and computer methodology (e.g., simulation, spatial statistics, meta-analysis, and geometric morphometrics) to better describe and analyze empirical phenomena.
We do not focus on a specific group of organisms, but rather study interesting aspects of evolution whatever the taxonomy. Recently, these have included projects focused on birds, wasps, fish, rattle snakes, and fiddler crabs, as well as disease-causing vectors such as HIV, tuberculosis, and leprosy.