Bioinformatics is a rapidly evolving field, and it is actively used in multiple areas of research. This interdisciplinary field integrates biology, statistics, and computer science together to analyse 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 research.

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

Course selection: This is a Type 3 course, hence there is no permission number.

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• Understand that bioinformatics is an interdisciplinary field and communicate with researchers from different backgrounds.
• Evaluate and identify appropriate bioinformatics software for your own research.
• 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.

• This course will be taught in English. All materials are available in English only.
• Cheating and plagiarism in assignments, exams or any other assessments are serious academic misconduct. All instances will be handled according to the university policy.
• There are no strict prerequisites for this course. However, it is recommended that students have a basic understanding of molecular biology, genetics, and statistics with basic programming in R or any other language.

The expected study time outside of class per week varies depending on the student's background:

• For students with relevant background knowledge: approximately 2-5 hours per week.
• For students without prior knowledge: approximately 4-8 hours per week or more, depending on individual

Please note that these assume efficient use of time and do not account for potential challenges such as troubleshooting basic syntax errors, tackling advanced problems without mastering fundamentals, or spending excessive time on unnecessary details. Students should be aware of these obstacles and allocate extra time if needed.