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Our research is in the areas of computational biology and molecular
evolutionary genetics, and includes examination of patterns and
processes of sequence evolution to understand molecular evolutionary
mechanisms that bring about biological change. The basis for much of
the research is comparative and includes several levels of biological
organization.
In addition to answering specific biological questions, a substantial
portion of our research has focused on experimental design and data
analysis methods. Some of this work has involved examination of the
sampling properties of DNA sequence data for evolutionary inference
(Cummings et al. 1995, Cummings et al. 1999, Cummings and Meyer 2005, Otto 1996), sampling of genetic diversity in
relationship to conservation reserve design (Neel and Cummings 2003a, Neel and Cummings 2003b), comparison of maximum
likelihood bootstrap and Bayesian posterior probability values
(Cummings et al. 2003), and hypothesis testing using tree-based statistical models (Cummings et al. 2004).
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