Modeling Biology with SimBiology: An Introduction for iGEM Teams

SimBiology model used in webinar: Modeling Biology with SimBiology: An Introduction for iGEM Teams
733 Downloads
Aktualisiert 1. Sep 2016

Lizenz anzeigen

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.

Zitieren als

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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2011a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu QSP, PKPD, and Systems Biology finden Sie in Help Center und MATLAB Answers
Communitys
Mehrere Dateien sind in der  SimBiology Community erhältlich

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.0.0.1

Updated license

1.0.0.0