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Modeling Biology with SimBiology: An Introduction for iGEM Teams

version 1.0.0.1 (605 KB) by Fulden Buyukozturk
SimBiology model used in webinar: Modeling Biology with SimBiology: An Introduction for iGEM Teams

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Updated 01 Sep 2016

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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.

Cite As

Fulden Buyukozturk (2020). 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. Retrieved .

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dor josef

Updates

1.0.0.1

Updated license

MATLAB Release Compatibility
Created with R2011a
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