| Description |
Genomic data is accumulating exponentially. This presents both a major challenge, to make sense of these data, and a major opportunity, to learn more about biology. Evolutionary biology plays a key role in this endeavor, because of the traditional importance of comparative approaches. By comparing many genomes, we can learn more about each genome, as well as about broad evolutionary patterns at the genomic level. Scaling up this approach presents computational challenges from ontology usage to distributed computing. I will focus on the detection of Darwinian selection, and on the role of gene duplication. |