Bactos.jl
Agent-based modelling of bacterial motility and chemotaxis in Julia.
Features
- Built on Agents.jl
- Bacterial motility in 1, 2 and 3 dimensions with customizable motile patterns.
- Chemotaxis with different tunable models (Brown-Berg, Brumley, Celani, Xie).
- Integration of differential equations in parallel with agent stepping via DifferentialEquations.jl, using finite differences.
- Easy evaluation of quantities of interest (mean-squared displacement, autocorrelation functions...).
Limitations
- The length of the integration timestep also sets the sensing timescale in chemotaxis models (i.e. the time over which a microbe integrates environmental signals).
- Reorientations are always assumed to be instantaneous.
- No hydrodynamic interactions.
Future directions
- Swimming in flow fields.
- More behavioral strategies (chemokinesis, infotaxis...).
- Extended set of core functionalities (encounters, interactions...).
- Complex environments (non-spherical obstacles).
- Steric interactions and non-spherical microbes.
Citation
If you use this package in work that leads to a publication, please cite the GitHub repository:
@misc{Foffi2022,
author = {Foffi, R.},
title = {Bactos.jl},
year = {2022},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mastrof/Bactos.jl}}
}
Acknowledgements
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955910.