![[Master Class] Graduate School of Biomedical Engineering](https://u-paris.fr/wp-content/uploads/2023/04/master-classe-1024x576-1-300x169.jpg)
The Graduate School of Biomedical Engineering is organising two master classes on May 11th and June 12th 2023. The classes are open to PhD students, researchers, engineers in academia and industrial sectors.
The programme focuses on Computational Systems Biology and Network Science in biology. It aims to introduce these topics through hands-on training.
Speaker
Karine AUDOUZE, Professor of systems biology and bioinformatics at Université Paris Cité. She works at the Inserm Unit 1124. In 2018, she founded the SysTox group, which aims at developing advanced computational tools and models by focusing on toxicology to better understand the effect of exposome on human health.
Programme
May 11, 2023 : Master Class - Practical Methods in Computational Systems Biology
Are you interested in combining mathematics, biology and data science to tackle the challenges of human health? Then this master class in computational systems biology is for you. This class, at the heart of modern biology and health research will enable you to acquire the skills needed to produce effective research in bioinformatics and computational biology.
Objectives
During this masterclass, you will:
- Get acquainted with the main theories and principles of systems biology
- Become familiar with the different tools and methods for data interpretation and hypothesis formulation in biological science
- Gain hands-on experience in designing models to better understand biological problems, interactions between different entities in living systems and the environment
- Acquire skills in data analysis
Topics covered
- Theory and principles of systems biology
- Basic training in methods and tools
- Hands-on sessions on biological problems
Programme
|
9:30 |
Welcome |
|
9:45 |
Introduction & Overview Presentation of the aim and structure of the course, expectations, and backgrounds of the participants |
|
10:00 |
Conference : Introduction to Systems Biology Motivation, theories, review of practices |
|
11:00 |
Break |
|
11:30 |
Workshop: Functional Enrichment Analysis Introduction to over-representation analysis (ORA) and gene set enrichment analysis (GSEA). Practice on transcriptomics data |
|
13:00 |
Lunch on your own |
|
14:00 |
Hands On: Biological databases Familiarise yourself with databases |
|
15:15 |
Break |
|
15:45 |
Hands On: Integrative modeling Introduction to the basics of integrative systems biology |
|
17:00 |
Closing |
June 12, 2023 : Master Class - Recipes for Biological Network Science
Vous souhaitez développer des modèles informatiques pour visualiser et interpréter des données biologiques volumineuses ? Suivez cette master classe en science des réseaux qui se concentre sur l’étude de modèles biologiques interactifs. Vous acquerrez les compétences nécessaires pour développer des réseaux complexes représentés par des nœuds et des connexions entre entités biologiques.
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.
Topics covered
- Network science, graph theory and principles
- Basic training in methods and tools
- Hands-on sessions on biological problems
Programme
|
9:30 |
Welcome & Overview |
|
9:45 |
Introduction 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 |
Closing |
The two masterclasses are held separately, however you can attend both sessions.
Registration is mandatory and the number of seats is limited to 20.
Registration deadline
Master class 1: 9 may 2023 Register here
Master class 2: 8 june 2023 Register here
Cost
- 500€ per day
- Free of charge for Université Paris Cité PhD students and staff
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