NCHU Course Outline

Course Name	(中) 生物資訊學導論(6370)
	(Eng.) Introductoryto Bioinformatics
Offering Dept	Graduate Institute of Biotechnology
Course Type	Elective	Credits	3	Teacher	CHUNG-CHI HU
Department	Master Program in Plant Medicine and Good Agricultural Practice / Graduate	Language	Chinese	Semester	2025-FALL
Course Description	本課程概括介紹生物資訊學之基礎知識，並配合上機實際操作。教室內有示範用電腦一部，並提供無線網路，歡迎同學們自備筆記型電腦同步操作。課程內容分為五大部分: 1. 生物資訊學網路資源簡介(文獻與生物巨分子資料庫、網路分析軟體) 2. 核苷酸序列分析簡介與操作(網路資源) 3. 胺基酸序列分析簡介與操作(網路資源) 4. UNIX及Windows PowerShell操作系統簡介與基礎指令稿語言(scripting language)操作，常用電腦語言基礎(R，Python) 5. 蛋白質結構分析簡介與操作每一部份約二至四週的課程，使同學能充分了解所學內容，達到”所學即所用”的目標。
Prerequisites

Relevance of Course Objectives and Core Learning Outcomes(%)

Teaching and Assessment Methods for Course Objectives

Course Objectives

Competency Indicators

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Teaching Methods

Assessment Methods

本課程之教學目的為提供初學者有關生物資訊學之基本概念，講授核酸及胺基酸資料庫之資訊儲存、擷取、分析及管理等基礎知識，以利學生日後從事相關研究工作，並培訓本土生物資訊技術人才。

2.To develop the abilities of plant clinical diagnosis and prescribing pesticides

3.Techniques and knowledge of plant quarantine and disease management

4.To increase knowledges of plant health management

5.Development of the ability to conduct scientific research, to work in a team and to present and interpret scientific results

Discussion

Practicum

Lecturing

Written Presentation

Assignment

Course Content and Homework/Schedule/Tests Schedule

Week	Course Content
Week 1	General Introduction
Week 2	Sequence Analyses with Distributed Resources: Popular Databases
Week 3	Sequence Analyses with Distributed Resources: Nucleotide Sequence analysis — Basics
Week 4	Sequence Analyses with Distributed Resources: Nucleotide Sequence analysis — Basics
Week 5	Sequence Analyses with Distributed Resources: Nucleotide Sequence analysis — Single sequence analyses
Week 6	Sequence Analyses with Distributed Resources: Nucleotide Sequence analysis — Single sequence analyses
Week 7	Sequence Analyses with Distributed Resources: Nucleotide Sequence analysis — Pair-wise & Multiple sequence analyses
Week 8	Sequence Analyses with Distributed Resources: RNA sequence analysis
Week 9	PC-based Bioinformatics Tools: BioEdit, Basic Scripting, PowerShell
Week 10	PC-based Bioinformatics Tools: BioEdit, Basic Scripting, R, Python
Week 11	PC-based Bioinformatics Tools: FASTA, EMBOSS
Week 12	PC-based Bioinformatics Tools: GeneDoc, MEGA
Week 13	Protein Structure and Function – Primary structure
Week 14	Protein Structure and Function – Secondary structure
Week 15	Protein Structure and Function – Tertiary structure
Week 16	Protein Structure and Function – Tertiary structure, Animation Protein Structure and Function – Tertiary structure, Animation Perspectives. Final report due!!! (期末作業繳交日)
self-directed learning

Evaluation

本課程以期末作業作與隨堂考為學習評量方式

Textbook & other References

1. Baxevanis, A. D. and Ouellette, B. F. F. 1998. Bioinformatics: A practicla guide to the analysis of genes and proteins. John Wiley and Sons, Inc. New York.
2. Gopal, S., Haake, A., Jones, R. P., Tymann, P. 2009. Bioinformatics: A Computing Perspective. McGraw-Hill International Edition, Taipei.
3. Claverie, J.-M., and Notredame, C. 2003. Bioinformatics for Dummies. Wiley publishing, Inc. New York, NY, USA.
4. Coghlan, A. 2013. A little book of R for bioinformatics. http://www.cs.ukzn.ac.za/~hughm/bio/docs/a-little-book-of-r-for-bioinformatics.pdf
5. http://www.ncbi.nlm.nih.gov;; http://workbench.sdsc.edu;
6. GCG program manual. (http://www.gcg.com/genhelp)
7. http://www.nhri.org.tw/bioinfo/; http://www.bioinformatics.nl/cgi-bin/emboss/

Teaching Aids & Teacher's Website

本課程教材儲存於iLearning 3.0系統，請同學們自行下載使用。

Office Hours

每週五下午二點十分至三點。

Sustainable Development Goals, SDGs(Link URL)

include experience courses：N

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Update Date, year/month/day：None	Printed Date, year/month/day：2026 / 8 / 12
The second-hand book website：http://www.myub.com.tw/