Bayesian Estimation of Genomic Distance

Richard Durrett, Rasmus Nielsen, and Thomas L. York

Abstract. We present a Bayesian approach to the problem of inferring the number inversions and translocations separating two species. The main reason for developing this method is that it will allow us to test hypotheses about the underlying mechanisms, such as the distribution of inversion track lengths or rate constancy among lineages. Here, we apply these methods to comparative maps of eggplant and tomato, human and cat, and human and cattle with 170, 269, and 422 markers respectively. In the first case the most likely number of events is larger than the parsimony. In the last two cases the parsimony solutions have very small probability.

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