Team:Warsaw/Stage1/Modeling

From 2010.igem.org

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<h2>Modeling</h2>
<h2>Modeling</h2>
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<div class"note"> Available software</div>
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<div class="note"> Available software</div>
<p>People used to design computational programs that would automaticall locate bacterialribosome binding sittes, various techniques were used[] including neural networks[]. However the software was capable only of finding the sequence and didn't give any information about the strength of RBS. In 2009 Nature issue the revolutionary software has been described[]. RBS calculator allows prediction of RBS strength,
<p>People used to design computational programs that would automaticall locate bacterialribosome binding sittes, various techniques were used[] including neural networks[]. However the software was capable only of finding the sequence and didn't give any information about the strength of RBS. In 2009 Nature issue the revolutionary software has been described[]. RBS calculator allows prediction of RBS strength,
  moreover it designs RBS of desired strength for specific gene sequence. In 2010 another RBS strength predictor was created[].  
  moreover it designs RBS of desired strength for specific gene sequence. In 2010 another RBS strength predictor was created[].  
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<div class"note">Mathematics behind modeling</div>
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<div class="note">Mathematics behind modeling</div>
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<div class="note">Results</div>
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</p>
<img src="https://static.igem.org/mediawiki/2010/2/29/RBSpredict_ania5MDP.png">
<img src="https://static.igem.org/mediawiki/2010/2/29/RBSpredict_ania5MDP.png">

Revision as of 20:31, 26 October 2010

Example Tabs

Modeling

Available software

People used to design computational programs that would automaticall locate bacterialribosome binding sittes, various techniques were used[] including neural networks[]. However the software was capable only of finding the sequence and didn't give any information about the strength of RBS. In 2009 Nature issue the revolutionary software has been described[]. RBS calculator allows prediction of RBS strength, moreover it designs RBS of desired strength for specific gene sequence. In 2010 another RBS strength predictor was created[].

Mathematics behind modeling
Results

Fig 1. Fig 2.