Project Description. The transition from normal cells to cancer is an example of a within-patient evolutionary process. With advancements in sequencing technology, it has recently become possible to begin applying models of protein evolution to cancer genomes. The aim of this project is to apply a mechanistic model of protein evolution developed in the Gilchrist and O'Meara labs to publicly available cancer genome datasets. Our goal is to deepen our understanding of cancer by quantifying the nature and strength of natural selection on tumor related proteins using an explicit and well defined evolutionary framework.