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ABSTRACT: Background
Hybrid simulation of (computational) biochemical reaction networks, which combines stochastic and deterministic dynamics, is an important direction to tackle future challenges due to complex and multi-scale models. Inherently hybrid computational models of biochemical networks entail two time scales: fast and slow. Therefore, it is intricate to efficiently and accurately analyse them using only either deterministic or stochastic simulation. However, there are only a few software tools that support such an approach. These tools are often limited with respect to the number as well as the functionalities of the provided hybrid simulation algorithms.Results
We present Snoopy's hybrid simulator, an efficient hybrid simulation software which builds on Snoopy, a tool to
SUBMITTER: Herajy M
PROVIDER: S-EPMC5534078 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature