Breadcrumb

Next Generation Sequencing Data Analysis with clinical applications

Course
BMA231
Master’s level
7.5 credits (ECTS)
Study pace
33%
Time
Mixed time
Location
Location independent
Study form
Distance
Language
English
Duration
-
Application period
-
Application code
GU-10256
Tuition
Full education cost: 19 375 SEK
First payment: 19 375 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed, late application opens 15 July 2024.

About

Human genome sequencing is increasingly used in a variety of health care systems. This laboratory method is used daily to identify changes (mutations or gene expression profiles) that may contribute to a diagnosis and/or treatment selection. In this course we will focus on the analysis and interpretation of clinical NGS data by applying various bioinformatics webtools.

We will cover essential concepts in molecular biology and genetics, principles on NGS applications (with a focus on targeted resequencing and RNA sequencing). Besides, you will practice how to analyze NGS data from its quality assessment, pre-processing (filtering and mapping), variant calling and gene expression to its functional interpretation and visualization.

Most analyses will be performed using Galaxy (https://usegalaxy.eu/), an open source, web-based platform for data intensive biomedical research. Note that no command line tools will be used. For data visualization and statistical analysis, you will be introduced to R, a widely used statistical tool (no prior knowledge is require).

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

Computer and internet access are 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

Selection

Selection is based upon the number of credits from previous university studies, maximum 165 credits.