Date(s) - 03/04/2017
11 h 00 min - 12 h 00 min
The frontier between different species may be considered very fuzzy as is increasingly more observed. Organisms are no longer perceived as single genetically identical individuals and are rather considered as part of communities. At its extreme, one could see the whole of life as forming one single community, or a community of communities interacting sometimes closely and for long periods of evolutionary time. Such interactions appear essential to understand some if not all of the most fundamental evolutionary and functional questions related to living organisms. They however remain very little explored by computational biologists, perhaps due to the difficult modelling and computational issues raised. Yet, because of the complexity and singularity of these communities, it is clear that experimental data alone do not allow to fully understand the global capacities and functions of these organisms and of their interactions. In this talk, I will briefly present some of the models and algorithms, in the case related to metabolism, that we have recently been developing with the goal of better understanding some such close and often persistent interactions. A much longer term objective of this work will also be mentioned.