Team:Oxford/achievements

From 2014.igem.org

(Difference between revisions)
 
(10 intermediate revisions not shown)
Line 1: Line 1:
 +
__NOTOC__
{{:Team:Oxford/templates/header}}
{{:Team:Oxford/templates/header}}
 +
<html>
<div class="abcdefg">
<div class="abcdefg">
<div class="container cf row">
<div class="container cf row">
<h1>Achievements</h1>
<h1>Achievements</h1>
-
<h2>Week 1 Day 3 - Major Breakthrough</h2>
+
<h2>Model of part B possible repression and activation network scenarios</h2>
-
<div class="news_block">
+
 
<p>Finished the first draft of the model, will leave it until we have real data to feed back into the system. The model is very robust and allows any user to input a large variety of parameters and scenarios that could be realistically expected in the laboratory results. The output of the model is the colour that you can expect over time (the outputs of the real system will be from a combination of mCherry and GFP).</p>
<p>Finished the first draft of the model, will leave it until we have real data to feed back into the system. The model is very robust and allows any user to input a large variety of parameters and scenarios that could be realistically expected in the laboratory results. The output of the model is the colour that you can expect over time (the outputs of the real system will be from a combination of mCherry and GFP).</p>
-
<p>The way that I finally got the model to work was by returning to the ODE15s function in Matlab</p>
+
<p>The model reveals surprising results, including how even a small basal rate of gene expression (due to leakage of the promoters) can really change the results.</p>
-
</div>
+
<p>Information on how to use Matlab to model repressor and activator networks very easily, accurately and quickly will be uploaded to this wiki soon! If you want more details please don't hesitate to contact us.</p>
 +
 
 +
</html>
 +
[[File:Model 1.png|900px|thumb|left|An example of the model's output]]
-
<h2>Week 1 Day 2 - </h2>
 
-
<div class="news_block">
 
-
<p>Today was spent trying to get the </p>
 
-
</div>
 
-
<h2>Week 1 Day 1 - Conceptualizing part B</h2>
 
-
<div class="news_block">
 
-
<p>The morning was spent with Glen and Fran (who are working on part B) discussing exactly what network of activation and repression we were trying to categorize and turning it from Snapgene files (that the Biochemists understand) into a series of possible repression and activation scenarios. Then </p>
 
-
</div>
 
-
</div>
 
{{:Team:Oxford/templates/footer}}
{{:Team:Oxford/templates/footer}}
-
</div>
 

Latest revision as of 10:05, 17 July 2014

Achievements

Model of part B possible repression and activation network scenarios

Finished the first draft of the model, will leave it until we have real data to feed back into the system. The model is very robust and allows any user to input a large variety of parameters and scenarios that could be realistically expected in the laboratory results. The output of the model is the colour that you can expect over time (the outputs of the real system will be from a combination of mCherry and GFP).

The model reveals surprising results, including how even a small basal rate of gene expression (due to leakage of the promoters) can really change the results.

Information on how to use Matlab to model repressor and activator networks very easily, accurately and quickly will be uploaded to this wiki soon! If you want more details please don't hesitate to contact us.

An example of the model's output