Multi-level models and infrastructures for simulating biological system development
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The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes, where autonomous internal dynamics of cells, as well as cell-to-cell interactions through membranes, are responsible for the emergent peculiar structures of the individual phenotype. Being able to reproduce the sys- tems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. The idea is to model the phenomenon in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartment events determines the emergent behaviour resulting in the formation of spatial patterns. According to these premises the thesis proposes a review of the different approaches already developed in modelling developmental biology problems, as well as the main models and in- frastructures available in literature for modelling biological systems, analysing their capabilities in tackling multi-compartment / multi-level models. The thesis then introduces a practical framework, MS-BioNET, for modelling and simu- lating these scenarios exploiting the potential of multi-level dynamics. This is based on |
Thesis
— thesis student
supervision
— supervisors
— co-supervisors
Andrea Omicini, Andrea Roli, Mirko Viroli
sort
— cycle
third-cycle thesis
— status
completed thesis
— language
dates
— available since
03/05/2011
— degree date
28/04/2011
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