CompSysBio2021: Advanced Lecture Course on Computational Systems Biology
CECAM-FR-RA, Centre Paul Langevin, CAES CNRS, Aussois
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 , 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 methods  and network analysis  applied to big data to mathematical or physical modeling of spatio-temporal processes . In particular, manipulation of large datasets and of complex multi-agents models lead to the development of advanced computational methods.
The Course will be an opportunity for participants to interact directly with prominent scientists in this rapidly growing field. The pedagogical scheme is as follows:
- Morning sessions with plenary lectures
- Early afternoon free
- End of afternoon sessions devoted to parallel blackboard teaching and computational hands-on sessions.
- Evening sessions for selected short talks and for posters
Participants are strongly encouraged to submit an abstract of their current work to be presented as a poster in order to facilitate scientific interactions. Some abstracts will be selected for short talks by the Scientific Committee.
Anton Crombach ( Inria ) - Organiser
Olivier Gandrillon ( Ecole Normale Supérieure de Lyon - CNRS ) - Organiser
Daniel Jost ( Ecole Normale Supérieure de Lyon - CNRS ) - Organiser
Daniel Kahn ( INRAE ) - Organiser
Magali Richard ( CNRS - University Grenoble-Alpes ) - Organiser
Nelle Varoquaux ( CNRS - University Grenoble-Alpes ) - Organiser
Gael Yvert ( Ecole Normale Supérieure de Lyon ) - Organiser
Hidde de Jong ( INRIA ) - Organiser