ERABLE started in January 2015. It has two main goals, one related to biology and the other to methodology (algorithms, combinatorics, statistics).
In relation to biology, the main goal of ERABLE is to contribute, through the use of mathematical models and algorithms, to a better understanding of close and often persistent interactions between “collections of genetically identical or distinct self-replicating cells” which will correspond to organisms/species or to actual cells. The first covers the case of what has been called symbiosis, meaning when the interaction involves different species, while the second covers the case of a (cancerous) tumour which may be seen as a collection of cells which suddenly disrupts its interaction with the other (collections of) cells in an organism by starting to grow uncontrollably.
Such interactions will be explored initially at the molecular level. We will then go to the populational and ecological levels by modelling and analysing the way such interactions influence, and are or can be influenced by the ecosystem of which the “collections of cells” are a part.
In relation to methodology, the main goal is to provide the methods enabling to address our main biological objective as stated above that lead to the best possible interpretation of the results within a given pre-established model and a well defined question. Ideally, given such a model and question, the method will be exact and also exhaustive if more than one answer is possible. Three aspects are thus involved here: establishing the model within which questions can and will be put; clearly defining such questions; exactly answering to them or providing some guarantee on the proximity of the answer given to the “correct” one.
The documents related to the evaluation report for the period 2013 to 2017 is available here.
The yearly activity reports for ERABLE may be found here:
ERABLE follows from the previous Inria Team BAMBOO. The yearly activity reports for BAMBOO may be found here: