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bioRxiv · 10.1101/2020.09.29.319152

PyEcoLib: a python library for simulating E. coli stochastic size dynamics

Blanco, C.·Nieto, C.·Vargas-Garcia, C.·Pedraza, J. M.
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Abstract

Recent studies describe bacterial division as a jump process triggered when it reaches a fixed number of stochastic discrete events at a rate depending on the cell-size. This theoretical approach enabled the computation of stochastic cell-size transient dynamics with arbitrary precision, with the possibility of being coupled to other continuous processes as gene expression. Here we synthesize most of this theory in the tool PyEcoLib, a python-based library to estimate bacterial cell size stochastic dynamics including continuous growth and division events. In this library, we include examples predicting statistical properties seen in experiments.

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Blanco, C., Nieto, C., Vargas-Garcia, C., Pedraza, J. M.. 2020-10-01. PyEcoLib: a python library for simulating E. coli stochastic size dynamics. https://doi.org/10.1101/2020.09.29.319152

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