Descriptif de la formation
The BME@UPCité graduate school is organizing two master classes for professionals on 11 May and 12 June 2023.
These 2 days are focused on Computational Systems Biology and Network Science in biology and aim to introduce these topics through practical training.
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.
Pr Sophie Bernard and Pr Samuel Bottani
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.
Audience: Doctoral students, researchers, and engineers in academia and industry.
Costs Master Class 500€ per Day. Free for Université Paris Cité PhD students and staff
Deadline to enroll 8 June 2023
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, practice review |
| 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 |
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.
This masterclass does not require any specific preparation or prerequisites.
Notre formateur
Date des formations
Les sessions terminées
Session : Recipes for biological network science
Lieu : Campus Saint-Germain-des-Prés
Début : 12/06/2023 09:30
Fin : 12/06/2023 17:00
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