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Mission

We aim to understand the function and evolution of the complex molecular networks that underlie life. To do so, we integrate computational systems biology, population genetics, and molecular evolution. We build and analyze mathematical simulations of protein networks to probe their function, and we analyze genomic data to undercover signatures of population history and natural selection, with an emphasis on humans. Our group is interdisciplinary and collaborative, with an atmosphere that promotes both hard work and creativity.

News

May 1, 2012
Congatulations to Aaron Ragsdale, who has accepted an IGERT Fellowship in Comparative Genomics!

April 25, 2012
Congatulations to Brian Mannakee for his senior thesis entitled "Evolutionary Rate at the Protein Domain Level is Constrained by Importance to Network Dynamics". In Fall, Brian will begin pursuing his Ph.D. with the University of Arizona Graduate Interdisciplinary Program in Statistics.

March 1, 2012
The group is proud to have been awarded NSF grant DEB-1146074 to fund its work on "Demographic History Inference from Genomic Linkage and Allele Frequency Spectra".

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