Biological systems are intrinsically dynamic and high dimensional in its genotypic and phenotypic states. However, all the dimensionality of the states or processes may not be relevant for specific functionality of a biological system. Finding the relevant states or processes is crucial for understanding biological roles and design principles of the system as well as predicting its behavior.

In this workshop, we would like to discuss how quantitative data, NGS, informatics, mathematical modeling, and theory can be used to discover such  relevant states and processes.  Specifically, we focus on the immune system that flexibly adapt to unpredictable change in environment. In this workshop,  we hope that we can outline how the approaches and data from different disciplines can be integrated to open up new directions of quantitative biology.

Organized by Tetsuya J. Kobayashi (Univ. Tokyo & UCL) & Reiko Tanaka (Imperial College London)

Supported by: Research & Education Platform for Dynamic Living States, Univ. Tokyo.

                       Center for International Research on Integrative Biomedical Systems, IIS, Univ. Tokyo.

                       Universal Biology Institute, Univ. Tokyo