Getting Started!

Interested in using MATLAB for your in silico projects?
We have put together a few video tutorials to help you get started.

• Introduction to Data Analysis in MATLAB for Life Scientists
• Data Driven Fitting with MATLAB
• MATLAB with Interactive Computational Mathematics
• SimBiology and MATLAB for Modeling Synthetic Biology Systems
• Getting started with MATLAB
• Drag-and-drop model-building in SimBiology
• SimBiology for modeling and simulating dynamics of synthetic biology systems
• Simulating a Model in SimBiology

For more resources, check out the competition page, product pages, webinars, and additional tutorials.

MATLAB and SimBiology in Past iGEMs

See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years!

• Team Imperial College used SimBiology to model their gene circuit in order to optimize their design and to predict system behavior under different conditions, such as different promoter strength or copy number.
• Team Sydney Australia used SimBiology to develop a gene regulation pathway model of their ethylene biosensor and to run sensitivity analysis in order to identify processes that have the most significant impact on biosensor output.
• Team TU Delft modeled 3D printing of their bacterial biofilm using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.
• Team Oxford built stochastic and deterministic models of genetic circuits in order to tackle environmental pollution by developing a device for the detection and degradation of the hazardous yet indispensable solvent dichloromethane (DCM).
• Team KU Leuven modelled the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps.
• Team Carnegie Mellon derived an ODE model and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.
• Team Slovenia performed parameter scans to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT.