Publications [#221853] of Marcy K. Uyenoyama

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Papers Submitted

  1. Seiji Kumagai and M.K. Uyenoyama, A method for computing the exact distribution of the genealogical history of a sample derived from a structured population, Theoretical Population Biology (2013) .
    (last updated on 2013/12/27)

    Abstract:
    Likelihood-based inference methods designed to analyze variation in genes sampled from structured populations require a means of accommodating changes in rates of evolutionary processes, particularly coalescence and migration. Population structure increases the dimensions of the genealogy of a sample, and migration modi fies the subsets of lineages among which coalescence can occur. Accordingly, some inference methods require detailed simulation of migration events. Here, we present a simple method for determining the probability of a gene genealogy under a specifi ed model. This probability requires specifi cation of the probability of all possible states of ancestral lineages corresponding to the nodes in a gene genealogy and the density of the time interval between nodes. We explore the qualitative features of the distribution of gene genealogies, including factors that influence the geographical location of the most recent common ancestor and the nature of the distribution of internode lengths.