一、課程說明(Course Desc<x>ription)
<br>“Throughout the foreseeable future, research in medicine, molecular biology, and 
<br>biotechnology 
<br>will be dominated by scientific advancements resulting from the Human Genome 
<br>Project. 
<br>Knowledge of genomes will elucidate disease patterns and promises improved and 
<br>personalized 
<br>treatments. Food and drug development will be revolutionized by the focused 
<br>manipulated of 
<br>genes and biochemical process.”
<br>– by Prof. Eberhard O. Voit.
<br>
<br>二、參考書籍(References)
<br>1. Bioinformatics: a practical guide to the analysis of genes and proteins, 
<br>Third Edition 
<br>(http://as.wiley.com/WileyCDA/Wileyti<x>tle/productCd-0471478784.html)
<br>The reference is for Gene Module.
<br>2. Biological sequence analysis - Probabilistic models of proteins and nucleic acids,  by 
<br>Durbin etc
<br>3. Molecular Modelling: Principles and Applications (2nd Edition), by Andrew Leach
<br>
<br>三、教學方式(Teaching Method)
<br>在電腦教室(R202, 生科二館)上課，課堂講解示範與學生實地操做並行。
<br>
<br>四、成績考核(Evaluation)
<br>Prof Ng's 5 homework  take 30%
<br>Prof Lyu's 3 homework   take 25%
<br>Prof Yang's 1 homework (15%) + two quizzes (10%)  take 25%
<br>The final exam takes 20%
<br>
<br>Homework 遲交一天扣該次 homework 成績10%，遲交三天視同未交。
<br>
<br>五、可連結之網頁位址
<br>NTHU iLMS System
<br>https://lms.nthu.edu.tw/
<br>
<br>六、預定教學進度
<br>
<br>Date_____ Topics         
<br>-------------------------------------------------------------------
<br>9/13 Intro (Yang)
<br>9/20 DNA and Amino Acid Sequence Evolution (Ng)
<br>9/27 Molecular Phylogenetics (Ng)
<br>10/4 Mid-Autumn Festival Holiday 
<br>10/11 NGS & Genomics (Ng)
<br>10/18 Functional Genomics & Transc<x>riptomics (Ng)
<br>10/25 Genome Databa<x>ses and Resources (Ng)
<br>11/1 Dynamic Programming I (Yang)
<br>11/8 Dynamic Programming II (Yang)
<br>11/15 School Game Day 
<br>11/22  Protein Structure Databa<x>ses (Lyu)
<br>11/29  Protein Structure Visualization (Lyu)
<br>12/6 Protein Structure Analysis (Lyu)
<br>12/13 Structural Comparison (Lyu)
<br>12/20  Protein Structure Modeling & Prediction (Lyu)
<br>12/27 Docking + Protein Dynamics (Yang)
<br>1/3 Machine Learning (Yang)
<br>1/10 Final
<br>