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biological-simulations

Biological Simulation is the use of computational and mathematical models to simulate biological systems. The underlying complexity of biology necessitates the development of efficient algorithms, knowledge representation methods, visualization techniques, data formats, and computational tools to observe the emergent behaviors of biological systems. The broad scope and variety of time-scales and space-scales requires development of community-driven standards and common formats to enable interoperability and reproducibility of models.

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Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

  • Updated Sep 17, 2019
  • C++

This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286

  • Updated Jan 17, 2023
  • MATLAB