@misc{signalling2011-concurrent,
	title = {Upscaling cellular signalling models to the tissue-scale: a concurrent systems approach},
	author = {Adam Sampson and Alexey Goltsov and Dana Faratian and Simon Langdon and David Harrison and James Bown},
	day = 10,
	month = jun,
	year = 2011,
	note = {Poster and selected oral communication at Signalling 2011},
	cosmosslides = {http://offog.org/publications/signalling2011-concurrent-slides.pdf},
	abstract = {Biological processes such as growth, death, differentiation, and migration are common to both normal and abnormal development of multicellular organisms.  Abnormal development arises when the controlling mechanisms of these processes become deregulated. These processes are inherently multi-scale spanning gene, intra-cell signalling network, cellular, tissue, and organism level.  However, complexity and scale-linkage remain key challenges to articulating these processes. We consider the role of computer games technologies together with multicore and cluster programming techniques to address these challenges.  Such models are useful descriptions of a single cell.  However these rich and detailed models do not obviously scale up to the tissue-scale since the computational requirements of constructing tissue-scale models comprising individual cells with such detailed signalling representations are ordinarily prohibitive. We outline a framework that affords state-of-the-art concurrent systems engineering to achieve this up-scaling while preserving the detail.  We demonstrate the use of this framework in analogous systems and present the underlying approach, discuss why natural systems are highly suited to concurrent systems engineering and show the simulation being distributed seamlessly across a cluster.},
}