題 目：An Extended Ancestral Mixture Model for Phylogenetic Inference under
the HKY DNA Substitution Model
主講人：Prof. Shu-Chuan Chen (Idaho State University, USA )
時 間：102年1月8日(星期二)下午15:30-16:20
地 點：交大綜合一館427室
Abstract
Inferring phylogenies is important in many scientific areas such as biology,
paleontology, biochemistry and bioinformatics. Many statistical methods have
been proposed to reconstruct the phylogeny from the DNA sequences, such as
Maximum Parsimony method, Distance method, Maximum Likelihood method and
Bayesian method. Recently, a new method, Mixture Ancestral Models has been
proposed by Chen and Lindsay (2006) to infer phylogeny from the binary DNA
sequences. In the talk, we extend the ancestral mixture models to the one
which can infer phylogeny from the DNA sequences with multiple states. By
varying the time parameter, one can create a hierarchical tree that estimates
the population structure at each fixed backward point in time. Theoretical
and computational properties and applications of the extended ancestral
mixture model will be presented.
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