Difference between revisions of "Team:NEFU China/Model1"

 
(53 intermediate revisions by 7 users not shown)
Line 2: Line 2:
 
<head>
 
<head>
 
<meta charset="utf-8">
 
<meta charset="utf-8">
<title>Software 1</title>
+
<title>Model 1</title>
 
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
 
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
 
<link href="https://2018.igem.org/wiki/index.php?title=Template:NEFU_China/CSS-menu&action=raw&ctype=text/css"  rel="stylesheet" type="text/css">
 
<link href="https://2018.igem.org/wiki/index.php?title=Template:NEFU_China/CSS-menu&action=raw&ctype=text/css"  rel="stylesheet" type="text/css">
<link href="https://2018.igem.org/wiki/index.php?title=Template:NEFU_China/CSS-members-foot&action=raw&ctype=text/css"  rel="stylesheet" type="text/css">
+
<link href="https://2018.igem.org/wiki/index.php?title=Template:NEFU_China/CSS-model1&action=raw&ctype=text/css"  rel="stylesheet" type="text/css">
<link href="https://2018.igem.org/wiki/index.php?title=Template:NEFU_China/CSS-software1&action=raw&ctype=text/css"  rel="stylesheet" type="text/css">
+
  
 
<style>
 
<style>
Line 125: Line 124:
 
<div id="menu" style="background-color:rgba(0,0,0,0.6)!important">
 
<div id="menu" style="background-color:rgba(0,0,0,0.6)!important">
 
<li id="nav" style="left: 8%!important; width: 100%!important;">&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;
 
<li id="nav" style="left: 8%!important; width: 100%!important;">&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;
<!--<a class="menu1" href="#" style="text-align: right;">☰</a>-->
+
 
<ul class="firstmenu" style="float: left">
 
<ul class="firstmenu" style="float: left">
 
 
Line 136: Line 135:
 
<ul id="sub_02">
 
<ul id="sub_02">
 
<li><a href="https://2018.igem.org/Team:NEFU_China/Background" target="_self">BACKGROUND</a></li>
 
<li><a href="https://2018.igem.org/Team:NEFU_China/Background" target="_self">BACKGROUND</a></li>
<li><a href="https://2018.igem.org/Team:NEFU_China/Description" target="_self">DESCRIPTION</a></li>
+
<li><a href="https://2018.igem.org/Team:NEFU_China/Description" target="_self">DESCRIPTION &amp; DESIGN</a></li>
<li><a href="https://2018.igem.org/Team:NEFU_China/Design" target="_self">DESIGN</a></li>
+
<li><a href="https://2018.igem.org/Team:NEFU_China/Coding book" target="_self">CODE BOOK</a></li>
<li><a href="https://2018.igem.org/Team:NEFU_China/Coding book" target="_self">CODING BOOK</a></li>
+
 
  </ul>
 
  </ul>
 
  </li>
 
  </li>
 
 
 
<li class="mainlevel" id="mainlevel_03">
 
<li class="mainlevel" id="mainlevel_03">
  <a href="https://2018.igem.org/Team:NEFU_China/Experiment"><img id="parts" src="https://static.igem.org/mediawiki/2018/6/62/T--NEFU_China--_RESULTS.png">EXPERIMENT</a>
+
  <a href="https://2018.igem.org/Team:NEFU_China/Demonstrate"><img id="parts" src="https://static.igem.org/mediawiki/2018/6/62/T--NEFU_China--_RESULTS.png">EXPERIMENTS</a>
 
  <ul id="sub_03">
 
  <ul id="sub_03">
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Lock_Key" target="_self">LOCK &amp; KEY</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Lock_Key" target="_self">LOCK &amp; KEY</a></li>
  <li><a href="https://2018.igem.org/Team:NEFU_China/Suicide" target="_self">SUICIDE</a></li>
+
  <li><a href="https://2018.igem.org/Team:NEFU_China/Suicide" target="_self">INFORMATION DESTRUCTION</a></li>
  <li><a href="https://2018.igem.org/Team:NEFU_China/Splicing" target="_self">SPLICING</a></li>
+
  <li><a href="https://2018.igem.org/Team:NEFU_China/Splicing" target="_self">Pre-RNA SPLICING</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Demonstrate" target="_self">DEMONSTRATE</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Demonstrate" target="_self">DEMONSTRATE</a></li>
 
  <hr>
 
  <hr>
Line 165: Line 161:
 
  <ul id="sub_05">
 
  <ul id="sub_05">
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model" target="_self">OVERVIEW</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model" target="_self">OVERVIEW</a></li>
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model1" target="_self">MODEL1</a></li>
+
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model1" target="_self">CORRESPONDING COEFFICIENT</a></li>
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model2" target="_self">MODEL2</a></li>
+
  <li><a href="https://2018.igem.org/Team:NEFU_China/Model2" target="_self">KILLING MODEL</a></li>
 
  </ul>
 
  </ul>
 
  </li>
 
  </li>
Line 183: Line 179:
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Attributions" target="_self">ATTRIBUTIONS</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Attributions" target="_self">ATTRIBUTIONS</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Members" target="_self">MEMBERS</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Members" target="_self">MEMBERS</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Sponsoring" target="_self">SPONSORING</a></li>
 
 
  </ul>
 
  </ul>
 
  </li>
 
  </li>
Line 190: Line 184:
 
  <a href="https://2018.igem.org/Team:NEFU_China/Human_Practices"><img id="humanpractice" src="https://static.igem.org/mediawiki/2018/9/91/T--NEFU_China--_HUMANPRACTICE.png">HUMAN PRACTICE</a>
 
  <a href="https://2018.igem.org/Team:NEFU_China/Human_Practices"><img id="humanpractice" src="https://static.igem.org/mediawiki/2018/9/91/T--NEFU_China--_HUMANPRACTICE.png">HUMAN PRACTICE</a>
 
  <ul id="sub_08">
 
  <ul id="sub_08">
 +
  <li><a href="https://2018.igem.org/Team:NEFU_China/Human_Practices" target="_self">OVERVIEW</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Gold_integrated" target="_self">GOLD INTEGRATED</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Gold_integrated" target="_self">GOLD INTEGRATED</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Silver" target="_self">SILVER</a></li>
 
  <li><a href="https://2018.igem.org/Team:NEFU_China/Silver" target="_self">SILVER</a></li>
Line 210: Line 205:
 
var context =canvas.getContext("2d");
 
var context =canvas.getContext("2d");
 
var W = window.innerWidth;
 
var W = window.innerWidth;
                         var H = 2000;
+
                         var H = 2500;
 
//var H = window.innerHeight*1.5;
 
//var H = window.innerHeight*1.5;
 
canvas.width = W;
 
canvas.width = W;
Line 276: Line 271:
 
     <div class="row banner">
 
     <div class="row banner">
 
         <div class="banner-text">
 
         <div class="banner-text">
            <h1 class="responsive-headline" style="color: cyan!important;">Corresponding Coefficient</h1>
+
         
 
              
 
              
 
         </div>
 
         </div>
Line 282: Line 277:
 
</header>  
 
</header>  
  
<section id="resume" style="box-shadow: inset 0px 15px 15px -15px green">
+
<section id="resume" style="box-shadow: inset 0px 15px 15px -15px cyan">
<div class="row introduction" >
+
<div class="row introduction">
<div class="three columns header-col">
+
<div class="three columns header-col" style="">
 
             <h1><span>intorduction</span></h1>
 
             <h1><span>intorduction</span></h1>
 
         </div>
 
         </div>
Line 290: Line 285:
 
             <div class="row item">
 
             <div class="row item">
 
<div class="twelve columns">
 
<div class="twelve columns">
<p>
+
<br><br>
<br>
+
                    <p style="font-size: 26px!important;">
Based on the procedure of our case, we hypothesized that the duration of induced spy yeast death was relevant to the initial amounts of two types of yeast and production of secreted α factor. The duration of spy yeast death was proportional to the expression of Bax gene, while Bax gene expression depended on the activation efficiency of the promoter Fig2c. Thus, we should eventually determine whether the transcription efficiency of the Fig2c promoter is directly relevant to these three parameters. To verify the hypothesis, we used  correlation analysis to calculate the correlation coefficients.<br>
+
 +
Based on the procedure of our case, we hypothesized that the duration of induced spy yeast ( the information carrying yeast, designated as "spy yeast" ) death was relevant to the initial amounts of two types of yeast and production of secreted α factor. The duration of spy yeast death was proportional to the expression of Bax gene, while Bax gene expression depended on the activation efficiency of the promoter Fig2c. Thus, we should eventually determine whether the transcription efficiency of the Fig2c promoter is directly relevant to these three parameters. To verify the hypothesis, we used  correlation analysis to calculate the correlation <br>&lt;&gt;coefficients.<br>
 
        Coefficients is :<br>
 
        Coefficients is :<br>
 
+
                    <img src="https://static.igem.org/mediawiki/2018/5/53/T--NEFU_China--model1_f1.png"><br>  
Suppose is correlation coeeficients, is quantity of yeast variance and the expression of Bax gene variance.<br>
+
The result is as followed: it also verify our hypothesize is right.<br>
+
The data obtained from the wet laboratory, starting efficiency and initial alpha dosage of promoter Fig2c, were calculated correlation coefficient and fitted into a curve below.
                    </p>
+
</p>
 
</div>
 
</div>
 
             </div>  
 
             </div>  
Line 308: Line 304:
 
             <h1><span>RESULTS</span></h1>
 
             <h1><span>RESULTS</span></h1>
 
         </div>
 
         </div>
 +
 
         <div class="nine columns main-col">
 
         <div class="nine columns main-col">
 
             <div class="row item">
 
             <div class="row item">
 
               <div class="twelve columns">
 
               <div class="twelve columns">
  <p><br>
+
  <br><br>
  The result is as followed: it also verify our hypothesize is right.
+
<p style="font-size: 26px!important;">
  </p>
+
 
 +
  The result is as followed:</p><p style="
 +
font-size: 26px!important;
 +
"><br>
 +
Result 1: Correlation Coefficient of efficiency promoter Fig2c and initial dosage of killing yeast is below, and we find out their coefficient have strong correlation which verify our hypothesize is right. </p><p>
 +
</p><div align="center">
 +
    <span style="font-size: 100px;text-align: center;"></span>
 +
<img src="https://static.igem.org/mediawiki/2018/9/90/T--NEFU_China--model1_f2.png" style="width:600px;"><div>
 +
<br>
 +
<span style="
 +
font-size: 24px!important;
 +
    ">Result 2: Fitting into curve of two correlation coefficient.</span><br><br><br>
 +
<span style="text-align: left;"> </span>
 +
    <img src="https://static.igem.org/mediawiki/2018/0/0f/T--NEFU_China--model1-f3.png" style="width: 595px;"><br><br><br>
 +
  <p></p></div></div>
 
</div>
 
</div>
 
             </div>  
 
             </div>  
Line 322: Line 333:
 
 
 
 
 
</section>
 
</section>
<div class="foot">
 
<div id="foot-title">
 
<table>
 
<tr>
 
<td>
 
<h1>Userfull links</h1>
 
<h2>
 
<a href="https://2018.igem.org/Team:NEFU_China">Home</a>
 
&nbsp;&nbsp;&nbsp;
 
<a href="https://2018.igem.org/Team:NEFU_China/Model">Model</a>
 
                        &nbsp;&nbsp;
 
                        <a href="https://2018.igem.org/Team:NEFU_China/Description">Project</a>
 
&nbsp;&nbsp;
 
<a href="https://2018.igem.org/Team:NEFU_China/Software">Software</a>
 
    &nbsp;&nbsp;
 
    </h2>
 
 
<h2>
 
<a href="https://2018.igem.org/Team:NEFU_China/Basic_Part">Parts</a>
 
&nbsp;&nbsp;&nbsp;&nbsp;
 
<a href="https://2018.igem.org/Team:NEFU_China/Members">Teams</a>
 
&nbsp;
 
<a href="https://2018.igem.org/Team:NEFU_China/Lock_Key">Results</a>
 
&nbsp;
 
<a href="https://2018.igem.org/Team:NEFU_China/Notebook">Notebook</a>
 
                        &nbsp;&nbsp;
 
</h2>
 
 
<h2>
 
<a href="https://2018.igem.org/Team:NEFU_China/Human_Practices">Human &nbsp;Practice</a>
 
</h2>
 
</td>
 
<td style="padding-left: 70px">
 
<h1>Follow us</h1>
 
<img alt="facebook" src="https://static.igem.org/mediawiki/2018/b/b5/T--NEFU_China--facebook.png">
 
&nbsp;&nbsp;&nbsp;
 
        <img alt="twitter" src="https://static.igem.org/mediawiki/2018/3/36/T--NEFU_China--twitter.png">
 
&nbsp;&nbsp;&nbsp;
 
<img alt="wehchat" src="https://static.igem.org/mediawiki/2018/c/ca/T--NEFU_China--wechat.png">
 
        <br>
 
        <img alt="facebook" src="https://static.igem.org/mediawiki/2018/b/b5/T--NEFU_China--facebook.png">
 
&nbsp;&nbsp;&nbsp;
 
        <img alt="twitter" src="https://static.igem.org/mediawiki/2018/3/36/T--NEFU_China--twitter.png">
 
&nbsp;&nbsp;&nbsp;
 
<img alt="wehchat" src="https://static.igem.org/mediawiki/2018/c/ca/T--NEFU_China--wechat.png">
 
 
</td>
 
<td style="padding-left: 70px">
 
<h1>Contact us</h1>
 
<h3>iGEM-NEFU_China2018</h3>
 
<h3>Email: hexinglu@nefu.edu.cn</h3>
 
<h3>No.26 Hexing Road, Xiangfang <br>District, Harbin, Heilongjiang <br>Province 150000</h3>
 
</td>
 
</tr>
 
</table>
 
</div>
 
<div id="foot-declare">
 
<p>
 
 
</p>
 
</div>
 
</div>
 
 
</body>
 
</body>
  
 
</html>
 
</html>

Latest revision as of 13:08, 9 November 2018

Model 1

intorduction



Based on the procedure of our case, we hypothesized that the duration of induced spy yeast ( the information carrying yeast, designated as "spy yeast" ) death was relevant to the initial amounts of two types of yeast and production of secreted α factor. The duration of spy yeast death was proportional to the expression of Bax gene, while Bax gene expression depended on the activation efficiency of the promoter Fig2c. Thus, we should eventually determine whether the transcription efficiency of the Fig2c promoter is directly relevant to these three parameters. To verify the hypothesis, we used correlation analysis to calculate the correlation
<>coefficients.
Coefficients is :

The data obtained from the wet laboratory, starting efficiency and initial alpha dosage of promoter Fig2c, were calculated correlation coefficient and fitted into a curve below.


RESULTS



The result is as followed:


Result 1: Correlation Coefficient of efficiency promoter Fig2c and initial dosage of killing yeast is below, and we find out their coefficient have strong correlation which verify our hypothesize is right.


Result 2: Fitting into curve of two correlation coefficient.