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Recipes for Biological Network Science
Do you want to develop computational models to visualize and interpret large biological data? Take this master class in network science that focuses on the study of interactive biological models. You will acquire the skills needed to develop complex networks represented by nodes and connections between biological entities.
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.
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.
Programme
| 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 Network Science 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 |
Practical information
Date 22 May 2024
Group size 8-20 participants
Location Campus Saint-Germain-des-Prés
Costs Master Class 500€ (free for Université Paris Cité PhD students and staff)
Deadline to enroll 20 May 2024