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

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• 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.

• Basic statistics


• Programming in R

• Basic statistics


• Programming in Shell