Information design of biological networks: Application to genetic, immunologic, metabolic and social networks

The restitution of biological information in the framework of a new discipline, the information design, aims to develop new user-friendly tools for facilitating the comprehension of the medical or biological reality by a polymorphic end-user (patient, physician, or researcher in bioinformatics, biomathematics and life sciences). For that purpose, challenging problems will be presented: i) how to represent in a hierarchical way different components (up trees, strong connected components, down trees,...) of the biological network interaction graph, ii) how to describe the state dynamics on a network, with both its transient and asymptotic behaviours, iii) how to combine anatomic and functional information about nodes and edges of the interaction graph, and iv) how to take into account the evolutions of the architecture, notably the dynamics about the number of nodes and interaction links, e.g., in case of a rapid demographic change in social networks. Proposal of solutions will be presented for the two first challenges and some issues will be clarified for the two last ones.