Signalling Networks: From Data to Modelling

What is the course about?

Signalling pathways and networks are very important to regulate and control cellular processes, cell fate, and their malfunctions often lead to diseases, such as cancer or diabetes. This course provides an introductory overview about the most useful resources and tools to investigate signalling pathways and network, and also to introduce basic approaches to model signalling events.  Hands-on trainings will give a wide overview on tools and concepts related to signalling networks.
 

What will I Learn?

In this course you will learn how to use Cytoscape, where to find the most reliable signalling data, how to reconstruct, analyze and visualize a network. You will also learn how to develop your own models, mostly with logic modeling, what other modeling approaches exist, and how you can apply a model for your own research work.
 

Course Prerequisites

No programing skills and modeling background are required. Knowledge on biological systems, especially signalling is desirable but not essential.
 

Target Audience

Graduate students, post-doc, group leaders with interest to understand the resources and tools to reconstruct signalling pathways and networks and use omics data to model them with different approaches. The course could be useful for modelers coming with non-signalling background, and experimental bench biologist who would like to develop small but useful models for their own system.