Research Proposal for Team Tree

From the Abstract: "Tajima's D detects increases or decreases in overall genetic diversity, but cannot assess the relative contribution of genetic drift and natural selection to the variation observed. By applying Tajima's D analysis separately to synonymous (\ds) and nonsynonymous (\dn) mutations, we can separate the effects of drift from those of selection. Specifically, (\ds) measures the effects of drift within a population, while (\dns) measures the effects of selection for other organisms. Critical values for (\ds) and (\dns) will be generated under a model of neutral evolution. We will then analyze data obtained from computer simulations of specific evolutionary and demographic histories to measure our method's ability to correctly infer the population's history. Although our model reflects the details of HIV evolution, we anticipate our extension of Tajima's analysis will have a broader application."

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