Entry requirements

A Bachelor's degree including: Alternative 1) 15 credits mathematics or statistics, and 45 credits biology including 30 credits in molecular biology, cell biology, evolution or genetics; Alternative 2) 30 credits mathematics and 30 credits computer science including 5 credits in database design .

Learning outcomes

After the course, the student should be able to:

• account for and use methods in sequence bioinformatics such as sequence alignment, phylogenetic analysis and pattern recognition
• account for and use methods in structural bioinformatics such as classification of protein structures, structure prediction, simulations and structure based drug design
• analyse and compile results of bioinformatic analyses critically
• solve given biological problems by using appropriate bioinformatic methods and databases
• use and design simple scripts in R.

In the course, an introduction to master studies is included. After passing this module, the student should be able to:

• show awareness of ethical aspects on research and development including plagiarism issues and equal opportunities/equal treatment
• demonstrate an understanding of the possibilities of the bioinformatics, limitations and role in society
• make an individual study plan.

Content

Basic sequence and structural bioinformatics as well as introduction to bioinformatic algorithms. Pairwise and multiple sequence alignment. Methods for phylogenetic analysis and pattern recognition. Bioinformatic databases and servers. Classification and comparison of protein structures. Prediction of secondary and tertiary structure from sequence and homology modelling of the three-dimensional structure of proteins. Molecular dynamics simulations and molecular docking with applications to drug design. Applications of bioinformatic research. Computer exercises in bioinformatic scientific environment. Introduction to basic programming in R. Ethical aspects in education, research and development. Bioinformatics in Society.

Instruction

Lectures, seminars and computer exercises.

Assessment

For Introduction to master's studies (2 credits) active participation in seminars, written report and completed study plan.

For sequence bioinformatics (3.5 credits) written examination and laboratory reports.

For structural bioinformatics (3.5 credits) written examination and laboratory reports.

For Introduction to programming in R (1 credit) laboratory reports.