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<div class="col-12 col-lg-9"> | <div class="col-12 col-lg-9"> | ||
− | <div class="my-title h5-my-responsive" id="section1"> | + | <div class="my-title h5-my-responsive" id="section1">概述</div> |
− | <p> | + | <p>为了分析和评估我们的合成生物学系统,以及估计多种因子的浓度,我们以MATLAB为工具,建立了两个模型。</p> |
− | <div class="my-title h5-my-responsive" id="section2"> | + | <div class="my-title h5-my-responsive" id="section2">信号通路模型 </div> |
− | <p> | + | <p>我们建立信号通路模型,并把它与检测物,RNA,蛋白质关联了起来。我们也用模型刻画了STAR、antiSTAR的变化。</p> |
− | <p> | + | <p>模型在Simbiology工具箱中被创建。它让我们实现了对真实时间内我们的基因回路行为如何的模拟仿真,因此为湿实验部分提供了最优化反应进程的有用信息。此外,通过灵敏度分析,我们找到了能够帮助我们提高生物传感器表现的一些重要因素。</p> |
− | <div class="my-title h5-my-responsive" id="section3"> | + | <div class="my-title h5-my-responsive" id="section3">颜色图表模型</div> |
− | <p> | + | <p> 我们也构建了一个能产生检测物浓度-颜色对应的图表的工具。</p> |
<p>This color chart could be either stored in our mobile APP or printed as a convenient inducer-color matching tool, by which we could easily quantify two kinds of inducers at the same time. This tool was developed in MATLAB by utilizing image processing methods.</p> | <p>This color chart could be either stored in our mobile APP or printed as a convenient inducer-color matching tool, by which we could easily quantify two kinds of inducers at the same time. This tool was developed in MATLAB by utilizing image processing methods.</p> | ||
Revision as of 00:06, 16 December 2017
概述
概述
为了分析和评估我们的合成生物学系统,以及估计多种因子的浓度,我们以MATLAB为工具,建立了两个模型。
信号通路模型
我们建立信号通路模型,并把它与检测物,RNA,蛋白质关联了起来。我们也用模型刻画了STAR、antiSTAR的变化。
模型在Simbiology工具箱中被创建。它让我们实现了对真实时间内我们的基因回路行为如何的模拟仿真,因此为湿实验部分提供了最优化反应进程的有用信息。此外,通过灵敏度分析,我们找到了能够帮助我们提高生物传感器表现的一些重要因素。
颜色图表模型
我们也构建了一个能产生检测物浓度-颜色对应的图表的工具。
This color chart could be either stored in our mobile APP or printed as a convenient inducer-color matching tool, by which we could easily quantify two kinds of inducers at the same time. This tool was developed in MATLAB by utilizing image processing methods.