Modeling Biology with SimBiology: An Introduction for iGEM Teams
View the recorded webinar here:
http://www.mathworks.com/videos/modeling-biology-with-simbiology-an-introduction-for-igem-teams-81817.html
In this webinar, we introduced iGEM teams to SimBiology, a MATLAB-based tool for modeling, simulating and analyzing biological systems. Using the Repressilator [1] model as an example, we demonstrated key features:
- Graphical modeling environment
- Ordinary differential equations (ODEs) and stochastic solvers
- Sensitivity analysis and parameter sweeps techniques
- Parameter estimation techniques
- Advanced analysis via custom analysis tasks written in MATLAB
Reference:
[1] Michael B. Elowitz and Stanislas Leibler , A Synthetic Oscillatory Network of Transcriptional Regulators, Nature. 2000. Jan 20, 403(6767):335-8.
Citation pour cette source
Fulden Buyukozturk (2024). Modeling Biology with SimBiology: An Introduction for iGEM Teams (https://www.mathworks.com/matlabcentral/fileexchange/31849-modeling-biology-with-simbiology-an-introduction-for-igem-teams), MATLAB Central File Exchange. Récupéré le .
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Version | Publié le | Notes de version | |
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1.0.0.1 | Updated license |
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1.0.0.0 |