应计算机科学与技术学院院长王亚东教授邀请，在国际项目管理中心的大力支持下，美国莱斯大学计算机系主任Luay Nakhleh教授将于2019年9月15日至9月22日对我校计算机学院进行学术访问。访问期间将开展三次学术报告。欢迎感兴趣的师生参加。
报告二
报告主题：Inference of Phylogenetic Networks in the Post-genomic Era
报告时间：2019年9月18日 14:00-15:30
报告地点：一校区新技术楼618室
报告摘要：Using genome-wide data for phylogenetic inference and analysis has become commonplace in the post-genomic era, giving rise to the field of phylogenomics. The multispecies coalescent (MSC) model has emerged as the main stochastic process that helps capture the intricate relationship between species trees and gene trees. Combined with models of sequence evolution, the MSC can be viewed as a generative model of genomic sequence data in the context of a (species) phylogenetic tree.
A significant outcome of the use of genome-wide data has been the increasing evidence, or hypotheses, of reticulation (e.g., hybridization) during the evolution of various groups of eukaryotic species. Reticulate evolutionary histories are best represented as phylogenetic networks, which extend the tree model to allow for admixtures of genetic material. In this talk, I will describe the multispecies network coalescent (MSNC) model, which extends the MSC model so that it operates within the branches of a phylogenetic network. This extended model naturally allows for modeling vertical and horizontal evolutionary processes acting within and across species boundaries. In particular, it simultaneously accounts for gene tree incongruence across loci due to both hybridization and incomplete lineage sorting. I will then describe a likelihood function for this model, as well as a method for Bayesian sampling of phylogenetic networks and their parameters using reversible-jump Markov chain Monte Carlo (RJMCMC).
主讲人：Luay Nakhleh教授，博士毕业于德克萨斯大学奥斯汀分校计算机科学专业。研究领域为生物信息学和计算生物学。尤其是针对生物进化和基因学领域的研究。曾出版100余篇学术文章，发表100余场学术报告。获得过众多奖项，如德克萨斯杰出教学奖（德克萨斯州大学中最有声望的奖项之一）；DOE事业奖等奖项。
莱斯大学（Rice University），简称Rice，位于美国得克萨斯州休斯敦市郊。为美国南方最高学府，美国大学协会（AAU）成员，是一所世界著名的顶尖私立研究型大学，“新常春藤”名校之一。
