Rachel B Bevan

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In phylogenetic analyses with combined multigene or multiprotein data sets, accounting for differing evolutionary dynamics at different loci is essential for accurate tree prediction. Existing maximum likelihood (ML) and Bayesian approaches are computationally intensive. We present an alternative approach that is orders of magnitude faster. The method,(More)
Traditionally, phylogenetic analyses over many genes combine data into a contiguous block. Under this concatenated model, all genes are assumed to evolve at the same rate. However, it is clear that genes evolve at very different rates and that accounting for this rate heterogeneity is important if we are to accurately infer phylogenies from heterogeneous(More)
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The authors describe a program in which third-year psychiatric residents participate as ex-officio members on the boards of community service agencies. Experience as board members gives residents a broad understanding of issues related to the delivery of community mental health services and encourages them to continue community involvment after their(More)
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