22. april 2024


Learn how to extract relevant data from most essential databases and how to use the methods for molecular sequence and structure analysis within Bioinformatics.

Continuing professional development for medical doctors, academics within the health care system, research environments, medicinal industries and organisations working with personalised medicine.

The objective of the course is to provide you with a knowledge of the most essential databases and methods for molecular sequence and structure analysis.

These years, computer based methods play a crucial role in molecular biology, microbiology, and personalised medicine. Huge international databases of sequence and structure contain information, which in many cases can entirely replace experimental work, and in other cases can be used to optimize the benefit of experimental resources.

Introduction to Bioinformatics is a practically oriented course with focus on using the methods rather than deriving them mathematically. Bioinformatics is presented as a biological discipline rooted in evolutionary theory. A large part of the course consists of computer-based exercises, where the computational tools are applied based on the participants’ biological prior knowledge.


The course consists of:

Lectures and teamwork at DTU campus.

Online teaching, group work with assignments, and presentations from the students.

Project work and report writing:
The course ends with an interdisciplinary group work based on a case.


Carolina Barra Quaglia
Associate Professor, Group leader of Protein Immunoinformatics, Department of Health Technology, Technical University of Denmark. 


Once you have met the objectives of the course, you will be able to:

  • Explain how the information in biological macromolecules, such as DNA and protein can be represented in a digital format.
  • Explain how processing of NGS data is done with bioinformatics tools
  • Search for sequence data from the publicly available databases, such as GenBank and UniProt, and relevant disease omics data such as the cancer genome atlas (TCGA)
  • Use programs to perform basic clustering of patient samples, based on critical feature selection
  • Search the clinvar and COSMIC databases of disease related mutations
  • Rationally apply bioinformatics tool to answer biological questions relevant to applied personalised medicine
  • Explain how patient stratification is done based on genomics, transcriptomics, and proteomics data in practice using basic clustering and classification

See all learning outcomes in course curriculum





Course details

Duration: 4 days on campus
2 online course days

22. - 25. April 2024 - Campus
29.-30. April 2024 - Online

Frequence Course runs every second year in spring semester (2024, 2026, etc.)
Place: Technical University of Denmark, Copenhagen, Denmark
Course fee: EU/EEA citizens: 10,500 DKK
Non-EU/EEA citizens: 14,000 DKK

New course fee effective as of 2026:
EU/EEA citizens: 11.500 DKK
Non-EU/EEA citizens: 15,500 DKK
Level and credit: Master course; 5 ECTS
Examination: See the exam plan
Application deadline: 26. February 2024
Admission: To be admitted, you must meet the admission criteria for Master i personlig medicin (programme in Danish).

*The form is in Danish, please contact the admission office if needed, master@sund.ku.dk

The opening of the application period is announced via the programme newsletter (in Danish).

Download Course Curriculum