Introduction to Bioinformatics


About this course

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Note: This course can not be combined in an individual programme with PBR34303 Genomics and Bioinformatics.

Over the last decades, a number of technologies to study DNA, RNA, proteins, metabolites and their interactions has been developed. To understand life at the molecular level, they have been applied in numerous biological and biomedical experiments. Much of the resulting data, as well as the knowledge gained in these experiments, are freely available for researchers in the form of computer databases and tools. Analysis and interpretation of experimental data in biology increasingly depends on using these bioinformatics methods efficiently and effectively. In this course, students will be given a broad overview of the field of bioinformatics, with a focus on practical application and interpretation of results from tools used in everyday biological research.

Learning outcomes

After successful completion of this course students are expected to be able to:

  • describe the most widely used bioinformatics databases and tools, and explain their applicability;
  • apply bioinformatics tools to analyze genome, gene and protein sequences, and critically explain the results;
  • interpret the results of computational analyses of high-throughput measurement data;
  • choose a combination of databases and tools to analyze data resulting from a real-world biological experiment and motivate the choices.

Teaching method and examination

Final grading is based on a group project report (groups of approximately 5, 40%) and an individual written exam with open questions (60%). To pass the course, the mark for the written examination should be at least 5.00. Project report grades for group members can be adjusted by -/+ 1 point w.r.t. the group grade based on peer review of commitment, contribution and communication. Resubmission of a project report graded as insufficient is possible once, in a period of one week after the grades are announced.

A partial grade (for project report and written exam) is valid until the end of the academic year following the year in which it was received. A written exam resit is offered in the normal resit periods. A project resit consists of an individual repetition of the entire project on a new data set, to be performed in a limited time period; consult the coordinator to arrange this. Papers might be screened for signs of using AI-tools. If unauthorized use of AI-tools is suspected an additional oral exam might be held (pass/fail).

Required prior knowledge

Assumed Knowledge:
MAT15403 Statistics 2

Link to more information

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