Entry requirements

60 credits within the programme including Structural Bioinformatics, and Probability and Statistics. Completed Database Design I and Programming Techniques II.

Learning outcomes

On completion of the course, the student should be able to:

• explain the principles of sequence alignments, pattern recognition and phylogenetic analysis
• construct bioinformatic workflows and use scripts for data management
• solve given biological problems by identifying and using the appropriate public databases, and choose and apply existing software
• analyse, evaluate and compile results of bioinformatic analyses critically

Content

The course mainly deals with bioinformatics with focus on sequence data and contains the following parts and aspects:

Public bioinformatic databases, their design and search tools. Identification of coding sequences. Pair-wise and multiple sequence alignment, heuristic methods for sequence alignment. Automation of bioinformatic analyses by means of script programming. Models for sequence evolution and statistical sequence comparisons. Methods for phylogenetic analysis and pattern recognition.

Instruction

The course consists of lectures and computer exercises.

Assessment

Parts of the course: Theory 2 credits; computer exercises 3 credits.

For the overall grade Pass, it is required that the computer exercises have been presented in writing and orally and are passed. The theory part is examined in a written examination.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.