Difference between revisions of "Team:SEU/Contribution"

(Prototype team page)
 
 
(20 intermediate revisions by 3 users not shown)
Line 1: Line 1:
 +
{{SEU/Header}}
 +
<html>
 +
<style>
 +
.buttonContri {
 +
    background-color: #088A29 !important;
 +
    border: none !important;
 +
    color: white !important;
 +
    border-radius: 6px;
 +
    padding: 16px 32px !important;
 +
    text-align: center !important;
 +
    text-decoration: none !important;
 +
    display: inline-block !important;
 +
    font-size: 16px !important;
 +
    margin: 4px 2px !important;
 +
    cursor: pointer !important;
 +
}
 +
</style>
 +
<div id="fullpage" class="fullpage-default">
 +
    <div class="section animated-row" data-section="slide02">
 +
        <div class="section-inner">
 +
            <div class="about-section">
 +
                <div class="row justify-content-center">
 +
                    <div>
 +
                        <div class="row">
 +
                          <div class="row justify-content-center">
 +
                              <div>
 +
                                  <div class="about-contentbox">
 +
                                      <div>
 +
                                          <h2>Contribution</h2>
 +
                                          <p style="font-size=36px">Through the comprehensive use of life science and information science knowledge, we have obtained the results of this experiment. In the whole process, we encountered many difficulties and challenges, but after careful thinking and practice, we finally successfully overcome these. In addition, we have also summarized some information that may be helpful to other teams, hoping to make some contributions to the iGEM community. </p>
  
 +
                                          <p style="font-size=36px">1. We propose molecular computation models for arithmetic operations in artificial neural networks as well as relevant reaction kinetic analysis. </p>
 +
                                          <center><a href="https://2019.igem.org/Team:SEU/Model" class="buttonContri">Model</a></center>
 +
                                         
 +
                                          <p style="font-size=36px">2. Based on these models, we implement artificial neurons, which is the basic element of neural networks, with DNA reactions. Also, we achieve backpropagation training process for DNA-based neural networks.</p>
 +
                                          <center><a href="https://2019.igem.org/Team:SEU/Demonstrate" class="buttonContri">Demonstrate</a></center>
  
−
{{SEU}}
+
                                          <p style="font-size=36px">3. To help with experiment, we develop a software tool which can generate DNA reactions and relevant DNA sequences accroding to the input size of the neural networks. Researchers can directly use this tool to abtain their exepected DNA-based neural networks and conduct experiments.</p>
−
<html>
+
                                          <center><a href="https://2019.igem.org/Team:SEU/Software" class="buttonContri">Software</a></center>
−
 
+
                                          <p style="font-size=36px">4. We also conduct DNA experiments and try to validate our theory. qRT-PCR results and PAGE results are obtained, analysis of experiment data is also provided.</p>
−
<div class="column full_size judges-will-not-evaluate">
+
                                          <center><a href="https://2019.igem.org/Team:SEU/Experiments" class="buttonContri">Experiments</a></center>
−
<h3>★  ALERT! </h3>
+
                                         
−
<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>
+
                                      </div>
−
<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2019.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
+
                                </div>
 +
                              </div>
 +
                          </div>
 +
                        </div>
 +
                    </div>
 +
                </div>
 +
            </div>
 +
        </div>
 +
    </div>
 
</div>
 
</div>
−
 
+
</html>
−
 
+
−
<div class="clear"></div>
+
−
 
+
−
 
+
−
 
+
−
<div class="column full_size">
+
−
 
+
−
<h1>Characterization or Contribution </h1>
+
−
<H3>
+
−
Bronze Medal Criterion #5
+
−
</H3>
+
−
<p>
+
−
<b>Characterization - Standard Tracks:</b> Convince the judges that you have added quantitative experimental characterization data to an existing Part from the Registry of Standard Biological Parts. Clearly document the experimental characterization on the Part's Main Page on the Registry (see the Registry <a href="http://parts.igem.org/Help:Document_Parts">Document Parts page</a> for instructions). The part that you are characterizing must NOT be from a 2019 part number range. It is acceptable to add new data to an already highly characterized part. Please see the <a href="https://2019.igem.org/Measurement/Resources">Measurement Resources page</a> for more information about experimental characterization data. Sample submission is not required. 
+
−
<br><br>
+
−
You should list the part(s) you characterized for this medal criterion on this page and include links to the part's Registry pages, but <b>all data must be added to the Part's Main Page on the Registry</b>.
+
−
</p>
+
−
<P>
+
−
<b>Contribution - Special Tracks:</b> Document on your team wiki at least one new substantial contribution to the iGEM community that showcases a project related to BioBricks. This contribution should be central to your project and equivalent in difficulty to characterizing a BioBrick Part.
+
−
</P>
+
−
</DIV>
+

Latest revision as of 13:24, 19 October 2019





Contribution

Through the comprehensive use of life science and information science knowledge, we have obtained the results of this experiment. In the whole process, we encountered many difficulties and challenges, but after careful thinking and practice, we finally successfully overcome these. In addition, we have also summarized some information that may be helpful to other teams, hoping to make some contributions to the iGEM community.

1. We propose molecular computation models for arithmetic operations in artificial neural networks as well as relevant reaction kinetic analysis.

Model

2. Based on these models, we implement artificial neurons, which is the basic element of neural networks, with DNA reactions. Also, we achieve backpropagation training process for DNA-based neural networks.

Demonstrate

3. To help with experiment, we develop a software tool which can generate DNA reactions and relevant DNA sequences accroding to the input size of the neural networks. Researchers can directly use this tool to abtain their exepected DNA-based neural networks and conduct experiments.

Software

4. We also conduct DNA experiments and try to validate our theory. qRT-PCR results and PAGE results are obtained, analysis of experiment data is also provided.

Experiments