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【2009-08-02】统计和计算遗传学国际研讨班 北京
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统计和计算遗传学国际研讨班 第 一 轮 通 知 一、研讨班概况 多数生物性状尤其是对农林业生产重要的经济性状都是数量性状。数量性状遗传的复杂性给研究带来很大困难，而近年来基因组技术的发展为揭示数量性状遗传变异规律带来了极大帮助。高级基因组技术使得从分子水平上描述遗传多态现象成为可能，整个基因组数量遗传的性状得以鉴定，部分数量性状相关的基因也陆续被定位。随着大规模测序技术的发展和越来越多物种全基因组数据的获得，人们能够从基因组等水平更深入地认识物种、群体、家系和个体之间的数量性状的遗传变异，而统计分析则是分析基因组数据的重要工具。为了帮助遗传学家、统计学家和来自农林业、生物学、数学和统计学领域的研究生和相关研究人员掌握基本的统计理论和最新的遗传数据分析方法和软件，了解相关领域的国际前沿，特邀请来自Pennsylvania State University等高海内外高校的统计和数量遗传学教授举办本届统计和计算遗传学国际研讨班。 本次研讨班由北京林业大学、中国林学会林木遗传育种分会和Pennsylvania State University共同主办，北京林业大学林木育种国家工程实验室、林木、花卉遗传育种教育部重点实验室和生物科学与技术学院承办。 二、主讲专家 Dr. Rongling Wu (邬荣领), Pennsylvania State University (coordinator) Dr. Bailian Li (李百炼), North Carolina State University/Beijing Forestry University Dr. Arthur Berg, University of Florida Dr. Yuehua Cui, Michigan State University Dr. Tian Liu, Human Genetics Group at Genome Institute of Singapore 三、主要形式和内容 本次研讨班将采用专家讲座为主，讨论实际遗传数据的分析为辅的学习方式，还可根据需要对参会人员自带的数据和论文进行分析指导。研讨班讲座将涵盖统计和计算遗传学的诸多领域，主要内容如下： (1) 群体遗传数据分析，包括遗传杂合度、连锁不平衡估计、多位点分析、多等位基因分析和合子的连锁不平衡等； (2) 数量性状位点（QTL）的遗传定位，包括分子标记和分离检验、连锁分析和作图、异交群体的连锁分析、单一标记分析、区间作图、二元性状的遗传作图、遗传印迹和eQTLs作图等； (3) 动态性状的功能定位，包括动态性状的种类、遗传作图的原理、依赖于时间的基因型值的参数模型、依赖于时间的基因型值的非参数模型、协方差结构的模型和遗传控制的时间模式的检验等； (4) 林木数量遗传学研究现状与最新进展。 五、研讨班举办时间和地点 时间: 2009年8月2日-8日 地点: 北京林业大学(北京市清华东路35号，邮编10083) 六、费用标准 费用约2500元人民币（研究生1500元），含资料费、培训费等费用。 欢迎广大遗传育种领域的研究人员、教师及研究生等报名参加，请于2009年5月30日前回复（回执格式见附件，纸版或电子版），我们将会及时和您联系。 研讨班协调人：张志毅 教授， 邬荣领 教授 联系人：郭允倩 电话：13810366698 E-mail: guoyq04@gmail.com 庞晓明 电话：13681502814 E-mail: xmpang@bjfu.edu.cn 通讯地址：北京林业大学118信箱(100083) 传 真： 010－62338502 附:主讲专家简介 Dr. Rongling Wu, With a rigorous training in genetics, Dr. Wu is fascinated by the mystery of how genes can generate such a vast amount of variation in nature and how mechanistic and developmental regulations guide genes to respond to environmental signals. Dr. Wu's current research interest focuses on the development of statistical and computational methods necessary to unravel the genetic machinery of complex traits, diseases, and life processes. He is particularly interested in integrating the idea and principle of systems biology into statistical genetic research, ultimately elucidating a comprehensive atlas of the genetic control network of complex biology. He is alert and sensitive to concrete genetic or developmental problems fundamentally meaningful to agriculture, forestry, biology, and biomedicine and exceptionally good at the design of statistical models and algorithms to solve these problems. His pioneering statistical work on functional mapping was highlighted in Nature Reviews Genetics in 2004 and 2006. Dr. Wu serves Associate Editor for a number of statistical and genetic journals. Dr. Bailian Li, Dr. Li is now Vice Provost for International Affairs of North Carolina State University (NCSU) and Yangtse River Scholar Professor of Beijing Forestry University. Dr Li’s main research has focused on forest genetics, biotechnology, genomics and tree improvement. Previously, Dr. Li was a professor in the Department of Forestry and Environmental Resources and Co-Director of the NCSU Industry Tree Improvement Program. Dr. Li has extensive international experience in research and teaching collaboration with many foreign universities, research institutes and governmental agencies. He has been active leader in several international profession organizations. Dr. Li serves as Associate Editor or Editor for a number of forestry and genetic journals, such as Forest Science, Canadian Journal of Forest Research and Annals of Forest Science etc. Dr. Auther Berg, Dr. Berg enjoys exploring the science of life, from genotypes to phenotypes, through a mathematical and statistical framework. With a strong background in statistical modeling and computation, Dr. Berg utilizes efficient statistical algorithms together with clustered processers to simultaneously analyze complex genetic and phenotypic data. Outside of statistical genetics, Dr. Berg also performs methodological research in time series analysis, nonparametrics, survival analysis, and resampling methods. Before joining the faculty at the University of Florida, he held various other positions including associate-in instructor at the University of California, San Diego (UCSD) where he received a departmental teaching award, adjunct instructor at Miramar College, and administrative consultant of the Mathstorm consulting group at UCSD. He was recently presented with a 2008 Research Innovation Grant Award from the University of Florida for his research in statistical genetics. Dr. Berg is excited and eager to establish new collaborations with researchers worldwide. Dr. Yuehua Cui, Dr. Cui obtained his bachelor's degree in Agronomy at Shanxi Agricultural University, a master degree in Plant Biology at China Agricultural University and a PhD degree in Statistics at University of Florida. Dr. Cui is currently an Assistant Professor in the Department of Statistics and Probability at Michigan State University. Trained in both statistical and biological fields, Dr. Cui has a profound understanding of biological and genetic problems that stimulate him to conceive and derive powerful statistical methods to identify genetic variants underlying complex traits or genetic disorders, and to understand how naturally occurring genetic variations shape an organism's development. Dr. Cui's broad research interests are tied to the areas of statistical genetics and bioinformatics with a focus on the development of statistical designs, models and algorithms for biomedical and agricultural research. His current research interests are particularly focused on genetic mapping genomic imprinting, eQTL mapping, genomewide association studies, pathway analysis, gene network prediction and systems genetics. Beyond application-based study, Dr. Cui is also interested in studying the theoretical properties of the newly derived statistical method. More than 30 peer-reviewed articles have been documented in high-profile journals such as Genetics and Bioinformatics. His research has been supported by US National Institute of Health (NIH) and National Science Foundation (NSF). Dr. Tian Liu, Dr. Liu is a Research Scientist in the Human Genetics Group at Genome Institute of Singapore. She earned her B.S. in Applied Mathematics at Fudan University and completed her Ph.D. in Statistics at the University of Florida. Dr. Liu's research interests include the development of statistical methods and the application of these methods to real-word data analyses. She has developed a Bayesian algorithm for the functional mapping of dynamic genes that control complex biological processes. Her haplotyping model with multilocus single nucleotide polymorphisms has power to identify specific DNA sequence variants and their interactions that contribute to quantitative variation. Dr. Liu has also been deeply involved in collaborative research with geneticists and clinical professionals for a wide variety of research topics in human genetics. Dr. Liu's current interest has been directed to statistical modeling of epistatic interactions in case-control and GWAS studies. She has served as a reviewer for many genetics and statistics journals. [ Last edited by 努力着 on 2009-5-5 at 15:54 ] |
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