Team:HFUT CHINA/Future Work.html

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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Overview.html">Overview</a></li>
                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Overview.html">Overview</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Examples.html">Examples</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Examples.html">Results</a></li>
                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Future_Work.html">Future Work</a></li>
                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Future_Work.html">Future Work</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Download.html">Download</a></li>
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                         <li><a href="https://github.com/igemsoftware/HFUT_CHINA_2014">Download</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Devblogs.html">Devblogs</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/Tutorial.html">Tutorial</a></li>
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                         <li><a href="https://2014.igem.org/Team:HFUT_CHINA/user_guide.html">Tutorial</a></li>
                        
                        
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<h2 class="style"><font class="font_1" style="font-size:30px;font-weight:bold"><strong>Future Work</strong></font></h2>
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        <p class="STYLE11">Database:</p>
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         <p align="justify"><span class="STYLE2">Currently, we collect the  device information from teams of previous years. We hope to add the device  information of this year’s team. This would make the recommendation algorithms  more accurate. Besides, we also want to establish a database that contains the  system information, for example, the function of systems, devices that a system  contains, the relationships between devices in the same system. These information  would provide more possibility for our software to recommend. For example,  recommending the devices by function, recommending devices for a system.</span><br>
         <p align="justify"><span class="STYLE2">Currently, we collect the  device information from teams of previous years. We hope to add the device  information of this year’s team. This would make the recommendation algorithms  more accurate. Besides, we also want to establish a database that contains the  system information, for example, the function of systems, devices that a system  contains, the relationships between devices in the same system. These information  would provide more possibility for our software to recommend. For example,  recommending the devices by function, recommending devices for a system.</span><br>
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         <p align="justify" class="STYLE2">In the future, we will  allow the software to accept various types of input, such as figures or text. Thus,  when users need to input a whole system, they could use the figures or texts  that have been generated. </p>
         <p align="justify" class="STYLE2">In the future, we will  allow the software to accept various types of input, such as figures or text. Thus,  when users need to input a whole system, they could use the figures or texts  that have been generated. </p>
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<a herf="https://static.igem.org/mediawiki/2014/1/14/Hfut-APIhtml.zip">download api doc</a>
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Latest revision as of 03:30, 18 October 2014

HFUT_CHINA

Future Work

butterflies-are-gross
pig-head-pozole
canadian-thanksgiving-in-texas
weisswurst-pretzels-and-beer-for-breakfast
cow-head-barbacoa
cooking-with-dr-pepper
hatch-chile-feast
greece-eating-our-way-through-the-mainland

function

Currently, we collect the device information from teams of previous years. We hope to add the device information of this year’s team. This would make the recommendation algorithms more accurate. Besides, we also want to establish a database that contains the system information, for example, the function of systems, devices that a system contains, the relationships between devices in the same system. These information would provide more possibility for our software to recommend. For example, recommending the devices by function, recommending devices for a system.


Recommendation algorithms:


In the algorithms, we use hamming distance to measure the similarity of two biobricks. Edit distance would be a more powerful measurement for similarity. Thus, we would improve the algorithm by using edit distance.

Besides, our software currently recommends biobricks for designing devices. We will use the synthetic systems’ informations to recommend devices. For a given systems, we also want to detect whether there is something wrong with this system by analyzing current systems’ information.


Visualization GUI


In the future, we will allow the software to accept various types of input, such as figures or text. Thus, when users need to input a whole system, they could use the figures or texts that have been generated.


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