[Master Class] Graduate School of Biomedical Engineering

Quand :

12 June 2023 Jour entier

2023-06-12T00:00:00+02:00

2023-06-13T00:00:00+02:00

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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