Course Information
Course title
 Introduction to Bioinformatics 
Semester
 110-1 
Designated for
 COLLEGE OF BIO-RESOURCES AND AGUICULTURE  DEPARTMENT OF AGRONOMY  
Instructor
 STEVEN HUNG-HSI WU 
Curriculum Number
 Agron5050 
Curriculum Identity Number
 621EU6390 
Class
  
Credits
 3.0 
Full/Half
Yr.
 Half 
Required/
Elective
 Elective 
Time
 Friday 6,7,8(13:20~16:20) 
Remarks
 The upper limit of the number of students: 45. 
  
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
 Table of Core Capabilities and Curriculum Planning
Course Syllabus
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Course Description

Bioinformatics is a rapidly evolving field, and it is actively used in multiple areas of researches. This interdisciplinary field integrates biology, statistics, and computer science together to analyze and interpret biological data. The course covers the most important and fundamental concepts, methods, and tools used in bioinformatics. Students will be able to use these bioinformatics tools to solve the problems for their own researches.

Modules in this course

  1. Basic bioinformatics skills: basic statistics and programming.
  2. Molecular evolution: Multiple sequence alignment and phylogenetic analysis.
  3. Next generation sequencing (NGS) analysis: Genome assembly, genome annotation, and metagenomics.
  4. Other topics in bioinformatics: structural biology, cloud computing, ... etc

Google meet

Google Meet 		 

DirectPoll

Direct_poll
 

Course Objective
  • Understand that bioinformatics is an interdisciplinary field and communicate with researchers from different backgrounds.
  • Evaluate and identity appropriate bioinformatics software for your own researches.
  • Develop problem-solving skills in bioinformatics. Integrate a range of bioinformatics techniques to extract information from biological data.
  • Work collaboratively in groups to solve challenges in the interdisciplinary fields.
 
Course Requirement
  
Student Workload (expected study time outside of class per week)
  
Office Hours
 Appointment required. 
Designated reading
  
References
  
Grading
  
No.
Item
%
Explanations for the conditions
1. 
 Quizzes 
10% 
  
2. 
 Assignments 
30% 
  
3. 
 Group project - Proposal 
20% 
  
4. 
 Group project - Presentation 
40% 
  
 
Progress
Week
Date
Topic
Week 1
 09/24  Introduction to bioinformatics 
Week 2
 10/01 


  • Basic statistics

  • Programming in R

 
Week 3
 10/08 


  • Basic statistics

  • Programming in Shell

 
Week 4
 10/15  Regular expression 
Week 5
 10/22  Database and sequence manipulation 
Week 6
 10/29  Molecular evolution - Sequence alignment 
Week 7
 11/05  Molecular evolution - Phylogenetic analysis 
Week 8
 11/12  Microarray 
Week 9
 11/19  Modern sequencing methods 
Week 10
 11/26  Genomic analysis 
Week 11
 12/03  Holiday - University Games 
Week 12
 12/10  Genomic analysis 
Week 13
 12/17  Other topics in bioinformatics - Part 1 
Week 14
 12/24  Other topics in bioinformatics - Part 2 
Week 15
 12/31  Holiday 
Week 16
 2022/01/07  Final group presentation