課程資訊
課程名稱
分子演化實習
MOLECULAR EVOLUTION LAB. 
開課學期
98-2 
授課對象
生命科學院  生態學與演化生物學研究所  
授課教師
丁照棣 
課號
EEB5050 
課程識別碼
B44 U1630 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三4,@(11:20~) 
上課地點
生科419 
備註
與王弘毅合開
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/982ME_Lab 
課程簡介影片
 
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課程概述

This course is designed for advance undergraduates and graduate level students who is interested in the fields of molecular evolution, molecular systematics, evolutionary biology, bioinformatics, and comparative genomics. We will introduce web resources and computational tools commonly used in major areas of molecular evolution, including analysis methods for reconstructing phylogeny using likelihood-based approaches and Bayesian statistics, and methods for estimating the age of speciation as well as detecting adaptive evolution. Computer-based exercises offer the students opportunities to get familiar with programs used in solving scientific questions. 

課程目標
The aim of this course is to provide students opportunities to get familiar with programs used in the literature and solving scientific questions in the future. 
課程要求
 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
 
參考書目
Phylogenetic Trees Made Easy: A How-to Manual, Third Edition by Barry G. Hall (Sinauer, 2007)
Bioinformatics and Molecular Evolution by Paul Higgs and Teresa Attwood (Wiley-Blackwell, 2005)
Bioinformatics and Functional Genomics by Jonathan Pevsner (Wiley, Published Online: 28 Jan 2005)

 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
2/24  Introduction, NCBI

 
第2週
3/03  Data Bases (NCBI and beyond)  
第3週
3/10  Sequence technologies, Data formats, sequence retrieval 
第4週
3/17  Sequence retrieval, Sequence alignment 
第5週
3/24  Estimating nucleotide substitution (MEGA, DNAsp) 
第6週
3/31  MEGA homework 
第7週
4/07  Phylogenetic analysis: maximum likelihood methods (Phylip/PAUP) 
第8週
4/14  Bayesian Inference: Practice of MrBayes 
第9週
4/21  Molecular clock and estimation of species divergence time: PAML 
第10週
4/28  Detecting positive selection: PAML/DNAsp 
第11週
5/05  Computer programs for population genetics data analysis 
第12週
5/12  Population Substructure 
第13週
5/19  Individual project 
第14週
5/26  Individual project 
第15週
6/02  Individual project 
第16週
6/09  Student presentation 
第17週
6/16  Student presentation