Bioinformatics: Mathematical and computational modelling in biology

New

This course covers state-of-the-art tools and methods for system biology using biological data of different types. The participants will learn about the basis of modelling large-scale datasets as logic networks, as well as a more detailed approach using deterministic and stochastic modelling. At the end of the course the basis of three dimensional modelling of protein-protein interaction will be covered.

The course timetable can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

• The course is oriented to experimental researchers, post-doctoral and PhD students who want to gain a better understanding of the available tools and methodology used in system biology and to start modelling their own data.
• Booking priority is given to people from Cambridge University and Collaborating Institutes
• Individual Course fees are required only from External participants not from Collaborating Institutes

Number of sessions: 3

• Logical modelling
• Reverse engineering of large networks
• Deterministic modelling
• Stochastic processes and noise in biology
• Spatial modelling

The aim of this course is to familiarise the students with the mathematical modelling of biological processes and to provide hands-on training using several of the most well known system biology software.

Presentations, demonstrations and practicals

3

Once a year