  The ability to quantify stochastic fluctuations present in biochemical and
other systems is becoming increasing important. Analytical descriptions of
these fluctuations are attractive, as stochastic simulations are
computationally expensive. Building on previous work, the linear noise
approximation is developed for biochemical models with many compartments e.g.
cells. The procedure is then implemented in the software package COPASI. This
technique is illustrated with two simple examples and is then applied to a more
realistic biochemical model. Expressions for the noise, given in the form of
covariances matrices, are presented.
