NCHU Course Outline
Course Name (中) 生物資料分析特論(一)(6078)
(Eng.) Special Topics in Biological Data Analysis(I)
Offering Dept Graduate Institute of Genomics and Bioinformatics
Course Type Elective Credits 2 Teacher HSIEH,LI-CHING
Department Graduate Institute of Genomics and Bioinformatics/Graduate Language 中/英文 Semester 2025-FALL
Course Description (中)
生物資料量與日遽增，使得我們要從這麼大量的資料中篩取我們有用及統計顯著的資訊變成一件苦差事。這課程將介紹一些常用的生物資料庫以利我們的資料收集。在很多時候，這些收集的資料還需要作更進一步的處理以利於分析，故這課程將協助學生發展計算技能與統計分析技能。此外，這課程還將介紹新世代的解序技術與相關的序列資料庫與資料分析。最後，我們還會介紹一些分子演化中的重要分析。

(Eng.)
The amount of biological data available is increasing rapidly. It is becoming a daunting task to pick out desired data with statistical significance when facing the biological data. This course will introduce some commonly used biological databases, which will facilitate data collection. In many cases, the extracted data need to be further processed to reveal a clear trend; the course will help students to develop computational skills and statistical analysis skills. In addition, the course will give an introduction to next generation sequencing technologies, relative databases and data analysis. Moreover, some important analyses in molecular evolution will be introduced as well.
Prerequisites
self-directed learning in the course N
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
1. 這課程將協助學生發展處理生物資料的計算技能與統計分析技能
1.
5.
20
80
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 (中)
1. 生物資料庫的介紹
2. 介紹Perl 程式語言
3. 介紹Shell script
4. 介紹Ensembl Perl API
5. 介紹Bioperl & bioconductor
6. 介紹Regular expression
7. 介紹Database management & SQL
8. 介紹新世代解序技術與GEO
9. 新世代解序序列分析
10. 介紹一些有用的生物軟體工具
每單元後皆有作業

(Eng.)
1. Introduction to biological databases
2. Perl programming
3. Shell script
4. Ensembl Perl API
5. Bioperl & bioconductor
6. Regular expression
7. Database management & SQL
8. Introduction to next generation sequencing & GEO
9. Next generation sequencing data analysis
10. Introduction to some useful biological tools in computational biology
There is homework after each topic
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14
Week 15
Week 16
self-directed
learning
Evaluation
作業: 40%，課中討論: 60%
Homework: 40%, Discussion: 60%
Textbook & other References
References:
Lerrning Perl, 6th Edition by Schwartz and Phoenix (2011)
Programming Perl, 4th Edition, by Christiansen, Wall and Orwant (2012)
Teaching Aids & Teacher's Website
http://www.nchu.edu.tw/~bif/
Office Hours
(二) 89A
(Tues.) 89A
Sustainable Development Goals, SDGs(Link URL)
 include experience courses：N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：None Printed Date, year/month/day：2025 / 12 / 20
The second-hand book website：http://www.myub.com.tw/