CompSysBio2025: Advanced Lecture Course on Computational Systems Biology
Location: CECAM-FR-RA, Centre Paul Langevin, Aussois
Organisers
Systems Biology aims to describe and understand living systems by studying the interactions of their internal components and their interactions with the environment [1,2]. It thus provides a methodological and conceptual framework for thinking about complex systems in biology and represents a strategic focus for biology in the 21st century. From the beginning of its expansion about 20 years ago [3], this field of biology has been associated with formal sciences (mathematics, physics, computer science) due to the inherent complexity of the experimental data, requiring the implementation of modelling approaches and analysis tools [4,5,6]. The interaction between these different disciplines associated with technological revolutions (such as high-throughput sequencing or miniaturization of measurements down to the single cell level and to the single molecule) has led to dramatic advances in our understanding of living systems. This International School aims to strengthen this interdisciplinary communication by training young researchers in computational methodologies used in systems biology. Computational Systems Biology is a broad but intense field of research grouping all the theoretical and computational efforts developed in systems biology, from machine learning and AI methods [7,8] and network analysis [9] applied to big data to mathematical or physical modeling of spatio-temporal processes [10,11]. In particular, manipulation of large datasets and of complex multi-agents models lead to the development of advanced computational methods. In this edition, we will focus on "Multi-scale and spatio-temporal modeling", "Machine learning and AI for systems biology", "Molecular and genetic networks", "Dynamical and stochastic systems", "Science & society".
References
Anton Crombach (Inria) - Organiser
Fabien Duveau (CNRS - LBMC) - Organiser
Daniel Jost (Ecole Normale Supérieure de Lyon - CNRS) - Organiser
Magali Richard (CNRS - University Grenoble-Alpes) - Organiser
Delphine Ropers (INRIA - University Grenoble-Alpes) - Organiser
Denis Thieffry (INSERM 1024 - CNRS 8187, IBENS) - Organiser
Nelle Varoquaux (CNRS - University Grenoble-Alpes) - Organiser