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Modelling cell processes: data feast or famine.
David A. Fell
As the list of parts involved in cell processes becomes ever longer in the
wake of genome sequencing, the difficulties of predicting the system level
behaviour in vivo becomes even greater. This is fuelling the growing
interest in modelling and simulation of metabolism, signal transduction and
gene regulatory networks. However, although the motivation may arise
from a sense of information overload, as soon as model construction begins,
the perspective changes and the perception becomes that suitable quantitative
data is sparsely scattered on the information landscape. I will use
case studies from my research to illustrate that more time is spent on data
retrieval than computation. Unless there is a progress in capturing
and mining the required data, the alternative is to use modelling approaches
that have lower information requirements.
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