Bioinformatics
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.
2 x 2 days on campus:
Lectures and teamwork at DTU campus.
2 days online teaching:
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.
Lars Rønn Olsen
Associate Professor, Group leader, 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
Continuing professional development for medical doctors, academics within the health care system, research environments, medicinal industries and organisations working with personalised medicine.
You must meet the following criteria to be admitted to this course:
- Hold a relevant master degree or equivalent
- Have a minimum 2 years of professional experience within personal medicine in a clinical, research or academic field
- Be proficient in English
Find detailed information about the current admission criteria (in Danish).
This course is offered as an elective course on the Master of personalised medicine, which is a Danish master’s programme (Master i personlig medicin).
Priority is given to students enrolled on Master of personalised medicin. Once the enrolled students have been admitted to the course, the remaining seats are distributed on a first-come, first-served basis.
Course capacity: 30 seats.
Course details
| Duration: | 6 course days |
| Dates: |
22. - 25. April 2024 - Campus |
| Place: | Technical University of Denmark, Copenhagen, Denmark |
| Course fee: | EU/EEA citizens: 10,500 DKK Non-EU/EEA citizens: 14,000 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).