Stochastic modeling of bacterial cell division has been widely used in systems biology[ – ]. Basic problems concerning the stochastic nature of cell biology include modeling of cell size distributions[ ], effects of fluctuations in division control in terms of population fitness[ ] and auto-correlation and spectral analysis of division strategies through several generations[ ]. The importance of a stochastic outlook of the cell division control has been highlighted in literature considering physiological implications that potentially affect DNA concentration, surface transport and biosynthesis rates, as well as proteome composition[ ].
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