Next Generation Sequencing Analysis with clinical applications

Master’s level
5 credits (ECTS)


The course includes a combination of lectures and practical sessions where participants will focus on the analysis and interpretation of clinical Next Generation Sequencing (NGS) data applying various bioinformatics webtools. The statistical tool R will be introduced to perform and visualize the results. The course covers essential concepts in molecular biology and genetics, the principles on NGS applications, with a focus on targeted resequencing and RNA sequencing. In depth analysis of NGS quality assessment and interpretation of mutation and gene expression using Galaxy (, an open source, web-based platform for data intensive biomedical research. .

The course will be given in English and it includes a combination of lectures, practical sessions and home assignments.

Computer access with administration rights as well as internet access is required since all communication concerning the course and relevant documents, such as lectures, exercises and literature, will be posted at the virtual learning environment.

Prerequisites and selection


For admission to the course, the Bachelor's degree is required 180 credits or equivalent in any of the fields of medicine, nursing or natural sciences and English 6.