Course content
- Theoretical principles as well as existing tools and resources for logical modeling
- Resources and tools for knowledge management to underpin logical modeling
- Computational biology assisted reasoning for (large scale) hypothesis management by using logical modeling
- (Large scale) hypothesis management for interpretation of biotechnology-/biomedicine experimental data and for design of new experiments
- Fundamental challenges in future biotechnology and biomedicine that require logical modeling for adequate hypothesis management
- Discussion of trajectories for development of modeling-based research infrastructures for future biotechnology and biomedicine including reflections on implications of each of the trajectories for users and stakeholders of these infrastructures
If you are a member of Digital Life Norway Research School, all your costs related to course attendance can be covered if you apply for a travel grant.
Questions about the course? Contact Martin Kuiper
Questions about the travel grants? Contact Liv E. Falkenberg
Organizers
NTNU DrugLogics Initiative
Digital Life Norway Research School
Contact
Liv Eggset Falkenberg
liv.falkenberg@ntnu.no
+47 91829187