[Master Class for Pro] Practical Methods in Computational Systems Biology

Do you want to combine mathematics, biology and data science to address the challenges of human health? Take this master class in computational systems biology, which is at the heart of modern biology and health research (personalized medicine, toxicology…) to acquire the skills needed to produce effective research in bioinformatics and computational biology.

| Learning Objectives | Content | Audience | Instructor | Programme | Practical informations |

Learning Objectives

During this masterclass, you will

  • Discover the main theories and principles of systems biology;
  • Become familiar with the different tools and methods used in systems biology for data interpretation and hypothesis formulation in biological science;
  • Gain practical experience in designing models to better understand biological problems, interactions between different entities in living systems and the environment;
  • Acquire skills in data analysis.

Content

  • Theory and principles of systems biology
  • 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 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).
With practice on transcriptomics data.

13:00 Lunch on your own

14:00
Hands On: Biological databases
Familiarize yourself with databases

15:15 Break

15:45
Hands On: Integrative modeling
Introduction to the basics of integrative systems biology.

17:00 End of the day


Practical information

Date 7 May 2025
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 5 May 2025

Registration https://biosyscomp.sciencesconf.org/


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