Interaction Networks: Foundations and Applications to Biology
January 3 – 6, 2017

This small group aims at gathering national and international experts in interaction networks, coming from mathematics, computer science, or also biology and medical science, and make them discuss and work together through oral communications and common thematic working sessions.
This will be, in particular, the place to survey recent advances in the domain, and also identify open questions, inspire the community with promissing, theoretical or applied, research directions.
To this purpose, boolean automata network will be particularly emphasized, being studied simultaneously as computational models and in a more applied point of view as biological interaction networks (genetic regulation networks, signaling networks, neuron networks…).
Organizing Committee

Pierre Guillon (Aix-Marseille Université)
Kevin Perrot (Aix-Marseille Université)
Elisabeth Remy (Aix-Marseille Université)
Sylvain Sene (Aix-Marseille Université)


Negative cycle and fixed points in Boolean networks

L’inaccessible étoile…

On the cost of simulating a parallel Boolean automata networks by a block-sequential one

Réductions symboliques pour les modèles de réseaux génétiques

Complexity and robustness in non-coding genome

Rang et nombre de points périodiques des systèmes dynamiques finis

Discrete models of “social interactions »


Dynamique transitoire et reprogrammation des réseaux booléens


Cycles limites dans les réseaux booléens non-expansifs

Enumeration and extension of non-equivalent block-sequential update schedules in Boolean networks

Folding Turing is hard but feasible

Identification of logical models for signaling pathways : towards a systems biology loop