1. marts 2022

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.

 

 

 

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: 5 days on campus (including exam) + 2 online
Dates:
25 + 26 April 2022
28 + 29 April 2022
2 + 3 May 2022 (Online)
23 May 2022 (Exam)
Frequency: Available once per year
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: 23 May 2022
Application deadline: 8 weeks prior to course start
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