Difference between revisions of "Team:IISER Pune/Software"

 
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<center><img src="https://static.igem.org/mediawiki/2015/a/a5/Team_IISER_Pune_TT11.gif"></img></center><hr />
 
<center><img src="https://static.igem.org/mediawiki/2015/a/a5/Team_IISER_Pune_TT11.gif"></img></center><hr />
  
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<h3>Automated Quantification of GFP per cells using in-house ImageJ macros</h3>
 
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<img src="https://static.igem.org/mediawiki/2015/6/60/IISER_PUNE_SoftwareGFP.png"></img>
 
  
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<h3>Simulation Codes</h3>
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<p>Along the course of our we came across several scenarios to model .<br>
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We simulated variations of  the Quorum sensing terminator and the fast robust oscillator which are described by sets of differential equations.
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To solve them we have used a common template for integration.
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</p>
  
  
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<p>The python source code for the Terminator module modelling can be downloaded here.</p>
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<h4>Terminator module </h4>
  
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Approach 3 Python Code [<a href="https://static.igem.org/mediawiki/2015/e/e2/IISER_PUNE_Software_QS_terminator_with_pigment_initiated_AHL%28pigment_constitutive%29.txt" download="Approach3.py">Download</a>] [<a href="https://static.igem.org/mediawiki/2015/e/e2/IISER_PUNE_Software_QS_terminator_with_pigment_initiated_AHL%28pigment_constitutive%29.txt">View/Open</a>]
  
  
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<h3>Automated Quantification of GFP per cells using in-house ImageJ macros</h3>
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<img src="https://static.igem.org/mediawiki/2015/6/60/IISER_PUNE_SoftwareGFP.png"  width="80%"></img>
  
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<p>Aim : <br/>To characterize biobrick devices using microscopy data. <br/> As a quantitative detection method for pigment released by <a href="https://2015.igem.org/Team:IISER_Pune/Projects#Detection">detection module</a>.</p>
  
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<h3>Simulation Codes<h3>
 
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<p>Along the course of our we came across several scenarios to modell .<br>
 
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We simulated variations of  the Quorum sensing terminator and the fast robust oscillator which are described by sets of differential equations.
 
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To solve them we have used a common template
 
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</p>
 
  
  

Latest revision as of 21:03, 24 November 2015


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Simulation Codes

Along the course of our we came across several scenarios to model .
We simulated variations of the Quorum sensing terminator and the fast robust oscillator which are described by sets of differential equations. To solve them we have used a common template for integration.

The python source code for the Terminator module modelling can be downloaded here.

Terminator module

Approach 3 Python Code [Download] [View/Open]

Automated Quantification of GFP per cells using in-house ImageJ macros

Aim :
To characterize biobrick devices using microscopy data.
As a quantitative detection method for pigment released by detection module.