Bayesian Estimation of Genomic Distance

doi:10.1534/genetics.166.1.621

Bayesian Estimation of Genomic Distance

Richard Durrett^a,b, Rasmus Nielsen^b, and Thomas L. York^b
^a Department of Mathematics, Cornell University, Ithaca, New York 14853
^b Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853

Corresponding author: Richard Durrett, 523 Malott Hall, Cornell University, Ithaca, NY 14853., rtd1{at}cornell.edu (E-mail)

Communicating editor: J. B. WALSH

We present a Bayesian approach to the problem of inferring thenumber of inversions and translocations separating two species.The main reason for developing this method is that it will allowus to test hypotheses about the underlying mechanisms, suchas the distribution of inversion track lengths or rate constancyamong lineages. Here, we apply these methods to comparativemaps of eggplant and tomato, human and cat, and human and cattlewith 170, 269, and 422 markers, respectively. In the first casethe most likely number of events is larger than the parsimonyvalue. In the last two cases the parsimony solutions have verysmall probability.

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