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GENetic NETworks: Emergence and Complexity

THE SIXTH FRAMEWORK PROGRAMME
Priority 2 - Information Society Technologies
IST-2005-2.3.4 (xi) : Simulating Emergent Properties in Complex Systems
Contract for Specific Targeted Research Project (STREP)
Proposal number: 034952
Operative commencement date of contract: 1st September 2006

Coordinator: F. Képès, CNRS and Genopole

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News

December 4, 2009 Final review meeting, Brussels

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Overall assessment of the project (excerpt from the Final EC report, Feb 2010)

GENNETEC partners sought to produce a step change in our understanding of complexity and emergence in genetic regulatory networks. As it should be obvious, the problems they tackled were extremely challenging and important. They investigated a variety of sub problems related to Biological Regulatory Networks (BRN) and chromosomal organisation such as natural and artificial Genetic Regulatory Networks, DNA Folding, Regulation Transcription, PT modifications, abstract representations for complex systems based on category theory formulations, BRN modelling through algebraic methods and their analysis through model checking, structure and parameter optimisation for systems biology modelling. GENNETEC strategy was to prune large discrete BRN models based on topological analysis, temporal logic and spatial logic and to utilise a variety of cutting edge artificial intelligent techniques such as genetic programming, multi-objective evolutionary algorithms and belief propagation techniques for dealing with multi-dimensional and complex optimisation/datamining problems. The consortia produced a very impressive list of publications in very good (peer reviewed) venues. Furthermore, they have also disseminated their work through participation in conferences and science demonstrations. Finance and logistics matters were well handled throughout the lifetime of the project. Overall, taking into account the technical challenges involved, this has been very good value for money for the EU taxpayer with a total of 46 scientific articles generated and the transferable (skills) training of many researchers.