課程資訊
課程名稱
 遺傳統計學特論I
SPECIAL TOPICS OF STATISTICAL GENETICS I 
開課學期
 99-1 
授課對象
 生物資源暨農學院  動物科學技術學研究所  
授課教師
 林恩仲 
課號
 AniSci8018 
課程識別碼
 626 D1120 
班次
  
學分
 3 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期五2,3,4(9:10~12:10) 
上課地點
 加工105室 
備註
 總人數上限：15人 
  
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

There will be two classes for each topic in quantitative genetics and statistical genetics: Mixed Model Equation (MME), (Co)variance component estimation, Biological seqeunce comparison, Genotype and Phenotype Association, Marker-assisted Selection, Genome Wide Scan, Metabolic Profiling, and Comparative Genomics. 

課程目標
 This course includes theoretical derivation and paper discussions to provide a platform for introducing the statistical methods of genetics and genomics with the related applications to the Ph.D. students majoring in Animal Science. 
課程要求
 Reading book chapters and papers related to the topics mentioned above is the major task in this course. The students have to read those articles before the classes, and construct the basic ideas of the theory and applications. There will be discussions about the theory and applications during each class. 
預期每週課後學習時數
  
Office Hours
  
指定閱讀
 Balding, D. J., M. Bishop, and C. Cannings (Editor). 2007. Handbook of Statistical Genetics. Published by Wiley-Interscience. 3rd Edition [selected chapters] 
參考書目
 Barnes, M. R. (Editor). 2007. Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data. Published by Wiley. 2nd Edition 
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 作業 
60% 
 once every two weeks 
2. 
 期末報告 
40% 
  
 
課程進度
週次
日期
單元主題
第1週
 9/17  Mixed Model Equations (basic theory of BLUP) 
第2週
 9/24  Mixed Model Equations (applications) 
第3週
 10/01  Variance Component Estimation (basic theory of REML and Least squares methods) 
第4週
 10/08  Variance Component Estimation (applications of single trait and multiple traits) 
第5週
 10/15  Biological Sequence Comparison (general aspects of domain, motif) 
第6週
 10/22  Biological Sequence Comparison (SNP prediction) 
第7週
 10/29  Genotype and Phenotype Association (basic theory of linear model) 
第8週
 11/05  Genotype and Phenotype Association (applications of single locus and multiple loci) 
第9週
 11/12  Marker-assisted Selection (theory via BLUP) 
第10週
 11/19  Marker-assisted Selection (applications of outbred populations) 
第11週
 11/26  Genome Wide Scan (basic theory of logistic regression) 
第12週
 12/03  Genome Wide Scan (applications) 
第13週
 12/10  Metabolic Profiling (basic theory of principle components analysis and clustering methods) 
第14週
 12/17  Metabolic Profiling (applications) 
第15週
 12/24  Comparative Genomics (theory of gene order/content and whole genome alignment) 
第16週
 12/31  Comparative Genomics (applications) 
第17週
 1/07  Review and Conclusion 
第18週
 1/14  期末報告