Difference between revisions of "Team:Stanford-Brown/Model"

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<h2> Modeling</h2>
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<p>In order to augment our capabilities in vitro, we developed in silico tools to model our systems. Using Python and MATLAB, we developed 1) a elementary flux analysis tool for metabolic engineering of the Shikimate Pathway in E. coli and 2) a balloon simulator to give rise to the possibilities of our project.
  
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Learn more at our main project page<a href="https://2016.igem.org/Team:Stanford-Brown/SB16_Modeling">here</a></p>
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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2016.igem.org/Judging/Awards#SpecialPrizes">Best Model award</a>. </p>
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<p> Delete this box in order to be evaluated for this medal. See more information at <a href="https://2016.igem.org/Judging/Pages_for_Awards/Instructions"> Instructions for Pages for awards</a>.</p>
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<h2> Modeling</h2>
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<p>Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.</p>
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Latest revision as of 03:47, 20 October 2016

MENU ▤

Modeling

In order to augment our capabilities in vitro, we developed in silico tools to model our systems. Using Python and MATLAB, we developed 1) a elementary flux analysis tool for metabolic engineering of the Shikimate Pathway in E. coli and 2) a balloon simulator to give rise to the possibilities of our project. Learn more at our main project pagehere

Inspiration

Here are a few examples from previous teams: