The 2 masterclasses are independent, but you can attend both!
They are open to PhD students, researchers and engineers in academia and industry.
Registration is mandatory and the number of places is limited to 20.
Please find below the related information to the second masterclass:
Learning Objectives
During this masterclass, you will:
Learn the main theory and principles of the use of graph theory in biology;
Become familiar with network science;
Gain hands-on experiences in the statistics needed to understand networks;
Acquire skills in creating network-based models that enable visualization, prediction and design of flow-up studies.
Content
Network science, graph theory and principles;
Basic training in methods and tools;
Hands-on sessions on biological problems.
Audience
Doctoral students, researchers, and engineers in academia and industry.
This masterclass does not require any specific preparation or prerequisites.
Program
Time
Event
9:30
Welcome and Coffee
9:45
Introduction and Overview Presentation of the aim and structure of the course, expectations, and backgrounds of the participants.
10:00
Lecture: Introduction to Systems Biology Motivation, theories, review of practices.
11:00
Break
11:30
Workshop: Network topology and statistics Introduction to the Cytoscape tool to create, visualize and analyze biological networks. With practice on Cytoscape
13:00
Lunch on Your Own
14:00
Hands-On: Human disease network Learn how to extract meaningful networks from a large dataset: practice with human protein- protein interactions (PPI) data using virtual pulldowns methods.
15:15
Break
15:45
Hands-On: Clustering of networks Finding tightly connected clusters in large networks.
17:00
End of the Day
About
Instructor: Karine Audouze, Professor of systems biology and bioinformatics at Université Paris Cité in France.
She is working at the Inserm Unit 1124, where she founded the SysTox group in 2018 that aims at developing advanced computational tools and models with a focus on toxicology to have a better understanding of the effect of the exposome on human health.