Course description:
This course will provide an introduction to the computational analysis and reconstruction of both small and genome-scale metabolic networks. The main goal is to familiarize students with relevant state-of-the-art computational tools and databases, as well as to provide the students with hands-on experience in metabolic modelling approaches. Furthermore, we will cover the mathematical basis of constraint-based analysis of genome-scale metabolic models and provide a foundation for stability and control analysis of dynamic models. Link to the course description: Metabolic pathway analysis

Prerequisites:
Basic competence in a programming language (preferably Python) is expected. Basic knowledge in biochemistry, linear algebra and statistics are required.

Time: February 19th to March 1st, 2024. Please note that the course is two weeks.
Place: University of Bergen, Department of Biomedicine
Course responsible: Ines Heiland, Mathias Ziegler, and Suraj Sharma

Invited lecturers: Sascha Schäuble, HKI, Jena Germany

Suggested amount of ECTS: 10
Number of participants: max 20

Registration form: Metabolic pathway analysis 2024 (google.com)