[Master Class] Graduate School of Biomedical Engineering

Calendar
When:
11 May 2023 all-day
2023-05-11T00:00:00+02:00
2023-05-12T00:00:00+02:00
Graduate schools
EN
[Master Class] Graduate School of Biomedical Engineering

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

Read more