Difference between revisions of "Team:SEU/Attributions"

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<p>This page is used by the judges to evaluate your team for the <a href="https://2019.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2019.igem.org/Judging/Awards"> award listed below</a>. </p>
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  <li class='has-sub'><a href='https://2019.igem.org/Team:SEU'><span>Home</span></a></li>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Design'><span>Design</span></a>
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<li class="active"><a href='https://2019.igem.org/Team:SEU/Attributions'><span>Attributions</span></a>
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  <li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Parts'><span>PARTS</span></a>
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</ul>
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<li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Entrepreneurship'><span>AWARDS</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Entrepreneurship'><span>Entrepreneurship</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Hardware'><span>Hardware</span></a>
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<li class=' has-sub'><a href='https://2019.igem.org/Team:SEU/Measurement'><span>Measurement</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Model'><span>Model</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Plant'><span>Plant</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Software'><span>Software</span></a>
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<li><a href="https://igem.org/2019_Judging_Form?team=SEU"><span>JUDGING FORM</span></a>
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              <h1 class="entry-title">Project Attributions</h1>
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              <h2>Description</h2>
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              <p>This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures. </p>
 +
              <p></p>
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              <p>In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly. </p>
 +
              <p></p>
 +
              <p>There are various possible applications of this technology. For example, as it utilizes only DNA, a type of bio-friendly material, with small modifications it may be integrated to other biosystems to create biochemistry robots.</p>
  
 +
              <h2>Preliminaries</h2>
 +
              <p>DNA strands have been proved a powerful medium to perform computation. Previous researches [2], [3] have shown some interesting applicatoins of such materials, which implemented a "probabilistic switch" and a pattern recognition machine, respectively.</p>
 +
              <p></p>
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              <p>In this project, we plan to utilize a similar approach to conduct our experiment, implement a neural network using biochemical materials and validate our previous theory.</p>
  
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              <h3>&nbsp;</h3>
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              <h3>&nbsp;</h3>
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              <a class="button" href='p8.html'>Improve</a> </div>
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<h1>Attributions</h1>
 
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<p>This page is your opportunity to explain what parts of your project you did and what was done by technicians, advisers, etc. This requirement is not about literature references - these can and should be displayed throughout your wiki.
 
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<h3> Bronze Medal Criterion #3</h3>
 
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<p> All of the work done in your project must be attributed correctly on this page. You must clearly state the work that was done by the students on your team and note any work that was done by people outside of your team, including the host labs, advisors, instructors, and individuals not on the team roster.
 
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Please see the <a href="https://2019.igem.org/Judging/Medals">Medals requirements page</a> for more details.</p>
 
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<li>General Support</li>
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<li> Thanks and acknowledgements for all other people involved in helping make a successful iGEM team</li>
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<li>Does your institution teach an iGEM or synthetic biology course?</li>
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<li><a href="https://2011.igem.org/Team:Imperial_College_London/Team">2011 Imperial College London</a> (scroll to the bottom)</li>
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<li><a href="https://2014.igem.org/Team:Exeter/Attributions">2014 Exeter </a></li>
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<li><a href="https://2014.igem.org/Team:Melbourne/Attributions">2014 Melbourne </a></li>
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<p>
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For example, you might choose to work with an animal model during your project. Working with animals requires getting a license and applying far in advance to conduct certain experiments in many countries. This is difficult to achieve during the course of a summer, but much easier if you can work with a postdoc or PI who has the right licenses.</p>
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Revision as of 11:29, 29 August 2019

Project Attributions

Description

This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures.

In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly.

There are various possible applications of this technology. For example, as it utilizes only DNA, a type of bio-friendly material, with small modifications it may be integrated to other biosystems to create biochemistry robots.

Preliminaries

DNA strands have been proved a powerful medium to perform computation. Previous researches [2], [3] have shown some interesting applicatoins of such materials, which implemented a "probabilistic switch" and a pattern recognition machine, respectively.

In this project, we plan to utilize a similar approach to conduct our experiment, implement a neural network using biochemical materials and validate our previous theory.

Description

 

Design

 

Experiment

 

Notebook

 

Contribution

 

Results

 

Demonstrate

 

Improve
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