講題：Ancestral Mixture Models for Phylogenetic Inference
講者：陳淑娟 教授/愛達荷州立大學 ( Idaho State University ) 數學統計系
時間：107年12月24日(星期一)下午13：30-15：00
地點：民生校區五育樓4樓401教室
摘要
Phylogeny is the tree of life which can be reconstructed from biological data such as DNA sequences. The phylogeny reconstructed from the biological data gives the conjecture of the relationship between the genetic sequences. Many statistical methods have been proposed to reconstruct the phylogeny from the DNA sequences. A new method, ancestral mixture models, has been proposed by Chen and Lindsay. In the talk, we will start with the introduction of the phylogeny reconstruction and inferring phylogeny from the DNA sequences with binary states on each site. Then we will extend the ancestral mixture model to the one which can infer phylogeny from the DNA sequences with multiple states on each site. The extended ancestral mixture model is a HKY85 based mixture model which assumes that transitions and transversions are not equal likely, and the frequencies of state A, G, C, T are unequal. Examples and future work will be discussed.