Algorithmic Systems Biology Course (ASBCourse09) starting on 25/3/09: it is an internal course organized by CoSBi and open to our collaborators.

Theoretical and computational biology have the potential to contribute to biology and medicine by suggesting natural laws, relevant hypothesis, and in the case of medicine, even potential therapies and treatments. If this potential is to be realised, interdisciplinary work involving experimental and computational biologists working in close collaboration is a necessary step. The role of integrated oncology is to combine mathematical and computational approaches with experimental work in a two way conversation in which biological data is used to produce and parametrise theoretical models and in which computational models suggest oncological hypothesis that can be experimentally tested and which could translate into clinical therapies. In this talk i will discuss how discrete tools such as game theory and cellular automata can be utilised to produce theoretical models that could be used on an integrative effort. Specifically I will discuss models that focus on the evolutionary dynamics of cancer progression as somatic evolution is a critical part in tumour progression. Mathematical and computational approaches that can address the multiscale nature of cancer will be crucial in order to elucidate the evolutionary mechanisms that drive tumour progression towards malignancy.

Location	Meeting room A
Date and Time	19-05-2009 at 11:00
Speaker	David Basanta
From	Moffitt Cancer Centre
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