Difference between revisions of "Team:Jilin China/Interlab"

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<section class="s1">
 
<section class="s1">
<div class="title_con">
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  <div class="title_con">
<p>INTERLAB</p>
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  <p>INTERLAB</p>
<br />
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  <br />
<table>
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  <table>
<tr>
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  <tr>
<td><a href="#introduction" class="clickwave">Introduction</a></td>
+
    <td><a href="#introduction" class="clickwave">Introduction</a></td>
<td><a href="#introduction" class="clickwave">Second Subtopic</a></td>
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    <td><a href="#introduction" class="clickwave">Second Subtopic</a></td>
</tr>
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  </tr>
</table>
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  </table>
</div>
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  </div>
<div class="title_nav"><h2>Interlab</h2></div>
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  <div class="title_nav"><h2>Interlab</h2></div>
</section>
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</section>
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<div class="bodycontent" style="padding:0;">
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<div class="bodycontent" style="padding:0;">
<!--<section class="s0"></section>-->
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  <!--<section class="s0"></section>-->
<ul class="sidenav">
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  <ul class="sidenav">
<li><a href="#introduction">Introduction</a></li>
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  <li><a href="#introduction">Introduction</a></li>
<li><a href="#introduction">Second Subtopic</a></li>
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  <li><a href="#introduction">Second Subtopic</a></li>
</ul>
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  </ul>
<section class="s2">
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  <section class="s2">
<ul>
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  <ul>
<li class="introduction" id="introduction">
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    <li class="introduction" id="introduction">
<div>
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    <div>
<h2>Introduction</h2>
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      <h2>Introduction</h2>
<p>All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.</p>
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      <p>All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.</p>
</div>
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    </div>
</li>
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    </li>
<li class="" id="">
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    <li class="" id="">
<div>
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    <div>
<h2>Device We Received</h2>
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      <h2>Device We Received</h2>
<p>
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      <p>
<span class="figures"><img alt="" src="#" /><span class="figure"><b>figure.</b>This is a figure</span></span>
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      <span class="figures"><img alt="" src="#" /><span class="figure"><b>figure.</b>This is a figure</span></span>
All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.</p>
+
      All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.</p>
</div>
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    </div>
</li>
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    </li>
<li class="" id="">
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    <li class="" id="">
<div>
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    <div>
<h2>The Raw Data</h2>
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      <h2>The Raw Data</h2>
<table>
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      <table>
<tr>
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      <tr>
<th>表头</th>
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        <th>表头</th>
<th>表头</th>
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        <th>表头</th>
<th>表头</th>
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        <th>表头</th>
</tr>
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      </tr>
<tr>
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      <tr>
<th>表头</th>
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        <th>表头</th>
<td>Data</td>
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        <td>Data</td>
<td>Data</td>
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        <td>Data</td>
</tr>
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      </tr>
<tr>
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      <tr>
<th>表头</th>
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        <th>表头</th>
<td>Data</td>
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        <td>Data</td>
<td>Data</td>
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        <td>Data</td>
</tr>
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      </tr>
</table>
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      </table>
<h5 class="figure"><b>figure 1. </b>This is a figure.</h5>
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      <h5 class="figure"><b>figure 1. </b>This is a figure.</h5>
<div id="f2"></div>
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      <div id="f2"></div>
<h5 class="figure"><b>figure 2. </b>This is a figure.</h5>
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      <h5 class="figure"><b>figure 2. </b>This is a figure.</h5>
<script type="text/javascript">
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      <script type="text/javascript">
// 基于准备好的dom,初始化
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      // 基于准备好的dom,初始化
var f1 = echarts.init(document.getElementById('f2'));
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// 指定图表的配置项和数据
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      // 指定图表的配置项和数据
var option = {
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title: {
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        title: {
text: 'Title'
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        text: 'Title'
},
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tooltip: {},
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legend: {
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data:['vloume']
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},
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xAxis: {
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data: ["a","b","c","d","e","f"]
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yAxis: {},
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        yAxis: {},
series: [{
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        series: [{
name: 'volume',
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        name: 'volume',
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data: [5, 20, 36, 10, 10, 20]
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f1.setOption(option);
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</div>
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    </div>
</li>
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    </li>
<li class="reference" id="reference">
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    <li class="reference" id="reference">
<div>
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    <div>
<h2>REFERENCE</h2>
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      <h2>REFERENCE</h2>
<ul>
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      <ul>
<li id="r1">Dai H, Wang Y, Lu X, et al. Chimeric antigen receptors modified T-cells for cancer therapy[J]. JNCI: Journal of the National Cancer Institute, 2016, 108(7).</li>
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      <li id="r1">Dai H, Wang Y, Lu X, et al. Chimeric antigen receptors modified T-cells for cancer therapy[J]. JNCI: Journal of the National Cancer Institute, 2016, 108(7).</li>
<li>aaaaaa</li>
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      <li>aaaaaa</li>
<li>aaaaaa</li>
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      <li>aaaaaa</li>
</ul>
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      </ul>
</div>
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    </div>
</li>
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    </li>
</ul>
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  </ul>
</section>
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  </section>
</div>
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</div>
 
</html>
 
</html>
 
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Revision as of 13:22, 11 May 2018

Interlab

  • Introduction

    All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.

  • Device We Received

    figure.This is a figure All living organisms, from single-cell bacteria to humans, manage to survive by processing information about the favorable and adverse conditions in their environment. This information processing ability arises from highly complicated networks consisting of thousands of proteins, genes and gene-expression pathways all of which lead to specific outputs. The structure of this process is quite stereotypical and conserved among various types of cells and consists of sensors that collect information and transduce it further into the cell, processors that integrate the information and decide on a specific response and actuators that perform it.

  • The Raw Data

    表头 表头 表头
    表头 Data Data
    表头 Data Data
    figure 1. This is a figure.
    figure 2. This is a figure.
  • REFERENCE

    • Dai H, Wang Y, Lu X, et al. Chimeric antigen receptors modified T-cells for cancer therapy[J]. JNCI: Journal of the National Cancer Institute, 2016, 108(7).
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