Team:Calgary/Modelling/MC/Tutorials

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<div class="heading">A TOUR OF THE UNIVERSITY OF CALGARY iGEM TEAM</div>
 
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We've reached modelling, the <b>fifth</b> stop on our tour! We've looked in to two different methods of modelling our system: Differential Equation Based Modelling and Membrane Computing. Here, you can explore the similarities and differences, as well as the functions of each method. As well, you can find the results of our characterization of the signalling pathway. Once you're done, we'll move on to the Second Life component of the project <a href="https://2009.igem.org/Team:Calgary/Second_Life">HERE</a>.
 
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TUTORIALS
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Tutorials
 
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In this section we provide you with three tutorials. In the first tutorial, we introduce our Membrane Computing (MC) approach and demonstrate how to use our tool. Second tutorial presents the biological aspect of our model using animated visualizations produced by our platform.
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Abstract representation of interactions between different chemicals inside a single cell. Note that we have defined the cell as a compartment. Below is rather a cartoonish simulation for random walk of different chemicals inside a cell produced with our model.
Abstract representation of interactions between different chemicals inside a single cell. Note that we have defined the cell as a compartment. Below is rather a cartoonish simulation for random walk of different chemicals inside a cell produced with our model.
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<embed src="https://static.igem.org/mediawiki/2009/9/92/SingleCellRep.mov" Pluginspage="http://www.apple.com/quicktime/" width="850" height="550" CONTROLLER="true" LOOP="false" AUTOPLAY="false" name="IBM Video"></embed>
 
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Latest revision as of 02:19, 22 October 2009

University of Calgary

UNIVERSITY OF CALGARY



MODELLING INDEX
Overview

Membrane Computing Modelling
Differential Equation Modelling


TUTORIALS
In this section we provide you with three tutorials. In the first tutorial, we introduce our Membrane Computing (MC) approach and demonstrate how to use our tool. Second tutorial presents the biological aspect of our model using animated visualizations produced by our platform.






Abstract representation of interactions between different chemicals inside a single cell. Note that we have defined the cell as a compartment. Below is rather a cartoonish simulation for random walk of different chemicals inside a cell produced with our model.