Team:Manchester/collabtest
From 2013.igem.org
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<div class="title"> | <div class="title"> | ||
- | + | Modelling in 'R' | |
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<iframe src="//player.vimeo.com/video/75385395" width="400" height="300" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> | <iframe src="//player.vimeo.com/video/75385395" width="400" height="300" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> | ||
+ | </div> | ||
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+ | <p>In this video, the University of York team discuss the pros and cons of different types of modelling software that teams could potentially used for their model. This is followed by an introduction to the concept of delayed differential equations, and a guide showing how R can be used to to model them.</p> | ||
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+ | <img src="https://static.igem.org/mediawiki/2013/d/d0/ManUniversity_of_York_logo.png" width="420" height="100"/> | ||
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Revision as of 21:38, 2 October 2013
Our team believes that modelling is critically important for the success of a project, and have therefore used it extensively throughout all aspects of our project...MORE INFO ABOUT WHY IMPORTANT
We wanted to share our enthusiasm for modelling with the wider iGEM community, and feel there is currently no resource of teams to easily find out about the basics of modelling. At the YSB 1.0 conference, we discussed this with other teams and they agreed with us on this issue. Therefore we collaborated with the University of York and the University of Newcastle to produce tutorial videos on three different modelling softwares, explaining what each software is used for and the basics of how to use them.
The Registry of Standard Biological Parts already has a number of protocols for various standard wetwork methods. We hope that one day, a similar concept could be introduced to modelling.
In this video, the University of York team discuss the pros and cons of different types of modelling software that teams could potentially used for their model. This is followed by an introduction to the concept of delayed differential equations, and a guide showing how R can be used to to model them.