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做大圣娱乐登录:计算生物学中心“统计遗传学”课程招生公告

[发布日期:2012-05-17 点击数: ]

为推动我校“统计遗传学”研究的普及和发展,让相关学生和研究人员高效的掌握相关领域技术及前沿进展,北京林业大学计算生物学中心访问教授,来自美国密西根州立大学的崔跃华老师将在本学期开设“统计遗传学”,采用中文教学,但教程和课程资料为英文。

 

教学课时:计划从5月7日到6月7日。

欢迎对统计遗传学感兴趣的生物,计算机和统计等专业的研究生和青年教师报名参加。

报名注意事项:
1. 请将个人申请表及简历(包括研究方向和兴趣等)发至课程联系人:

庞晓明 老师 xmpanghn@gmail.com

2. 申请截止日期为2012年5月10日。任课老师将通过Email 通知到各位学员。上课时间和地点一并另行通知。

 

附录课程介绍:

Statistical Genetics
 

Basic skills required for this course:

Calculus; Basic probability distribution theory; t-test; Chi-square-test; regression analysis; ANOVA; Maximum likelihood method; Computer software (e.g., R, SAS, C/C++, or Matlab)

Course objectives

The course is designed for senior undergraduate, Master and PhD students in statistics and biological sciences. Students will learn basic techniques of modern statistical methods for genetic data analysis, and are expected to do data analysis and basic research in the field after taking the class.

Course description

The course will introduce basic probabilistic and statistical methods in analyzing genetic data in life science. It will cover fundamental concepts and theories as well as applications to real and simulated data in quantitative and population genetics. Topics include but are not limited to:

Basic genetic concepts such as Mendel’s law, Hardy-Weinberg equilibrium; Linkage and linkage disequilibrium (LD);
Estimation and test of linkage and LD; how to construct genetic linage map using MAPMAKER;
Concept and model in quantitative genetics;
Basic concept of QTL mapping,  including single marker analysis, interval and composite interval mapping;
Functional QTL mapping of dynamic/longitudinal traits;
Statistical methods in linkage and association analysis with family-based and population-based designs, covering c2 test of independence, simple and multiple logistic regression, variance components analysis and TDT test;
Issues of multiple testing in GWAS; Concept of false discovery rate (FDR);
References:

Statistical Genetics of Quantitative Traits: Linkage, Map and QTL by Rongling Wu, Chang-Xiang Ma and George Casella, Springer-Verlag, New York.
Mathematical and Statistical Methods for Genetic Analysis by Kenneth Lange, Springer-Verlag, New York.
Genetics and Analysis of Quantitative Traits by Michael Lynch, Bruce Walsh, Sinauer Assoc.

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