Team:Hong Kong HKUST/human practice/start-up kit

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<div class='content_1'><h3>Human Practice Start-up Kit</h3>
<div class='content_1'><h3>Human Practice Start-up Kit</h3>
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<p class="first_letter_enhanced">Start-up Kit is the first comprehensive and handy tool that aims to help iGEM teams - particularly the new iGEMers, in initiating new human practice projects. Not only does it give iGEMers a quick guide to begin with, but it also provides them with a preliminary concept of human practice and analyzed data regarding the past projects, which will give teams a jumpstart to flexibly come up with their own novel human practice project.
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<p class="first_letter_enhanced">Start-up Kit is the first comprehensive and handy tool that aims to help iGEM teams - particularly the new iGEMers, in initiating new human practice projects. Not only it gives iGEMers a quick guide to begin with, but also provides them with a preliminary concept of human practice and analyzed data regarding the past projects, which will give teams a jumpstart to flexibly come up with their own novel human practice project.
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HKUST iGEM 2014 team spent nearly the whole summer to collect information from all human practice projects done in the past. This large set of data was used as a base for the handbook, report, interview and the search engine. Each serves to interpret and use the database in a different way. For instance, the database is condensed into simple numbers in the handbook to represent frequency of types of projects done in the past. Report, on the other hand, incorporate the data to observe the general trend regarding human practice projects throughout the iGEM history. Interview questions were formed to show iGEM judges’ view on the previously done projects. Last but not least, search engine helps to find the desired information from the mass database more easily. However, due to the complexity and high level of computer coding knowledge required to build the search engine, we decided to reach out for help.  Kevin Christian Wongso, a graduate of the HKUST class 2014, who has a bachelor degree in computer science has lent us a helping hand. Thanks to his help, now users are able to serach for information they want by simply typing a few keywords. </p>
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HKUST iGEM 2014 team spent nearly the whole summer to collect informations from all human practice projects done in the past. This large set of data was used as a base for the handbook, report, interview and the search engine. The serves exist to interpret and use the database in a different way. For instance, the database is condensed into simple numbers in the handbook to represent frequency of types of projects done in the past. Report, on the other hand, report incorporate the data to observe the general trend regarding human practice projects throughout the iGEM history. Interview questions were formed to show iGEM judges’ view on the previously done projects. Last but not least, search engine helps to find the desired information from the mass database more easily. However, due to the complexity and high level of computer coding knowledge required to build the search engine, we decided to reach out for help.  Kevin Christian Wongso, a graduate of the HKUST class 2014, who has a bachelor degree in computer science has lent us a helping hand. Thanks to his help, now users are able to search for information they want by simply typing a few keywords. </p>
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<h4>Handbook</h4>
<h4>Handbook</h4>
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<p>This book provides comments and advice related to various aspects of human practice based on information from projects done in the past.</p>
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<p>This book provides advices from past human practice projects, past iGEM members as well as the judges. </p>
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<h4>Report</h4>
<h4>Report</h4>
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<p>Take a look at our report to have an idea about the general trends regarding human practice in iGEM history. </p>  
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<p>Take a look at our report to have an idea about the general trends regarding human practice in iGEM history. </p>  
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<h4>Search Engine</h4>
<h4>Search Engine</h4>
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<p>Want to take a look at the database itself? We have set a search engine to help guiding your way through the pile of information.</p>
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<p>Want to take a look at the database itself? We have set a search engine to help guide your way through the pile of information.</p>
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<h4>Interview</h4>
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<p>Nothing is more direct and relevant than comments from iGEM judges. Check out to see what judges think about past human practice projects.</p>
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<p>Nothing is more valuable than comments from iGEM judges. Click to see what judges think about past human practice projects.</p>
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Latest revision as of 14:50, 17 October 2014



Human Practice Start-up Kit


Start-up Kit is the first comprehensive and handy tool that aims to help iGEM teams - particularly the new iGEMers, in initiating new human practice projects. Not only it gives iGEMers a quick guide to begin with, but also provides them with a preliminary concept of human practice and analyzed data regarding the past projects, which will give teams a jumpstart to flexibly come up with their own novel human practice project.

HKUST iGEM 2014 team spent nearly the whole summer to collect informations from all human practice projects done in the past. This large set of data was used as a base for the handbook, report, interview and the search engine. The serves exist to interpret and use the database in a different way. For instance, the database is condensed into simple numbers in the handbook to represent frequency of types of projects done in the past. Report, on the other hand, report incorporate the data to observe the general trend regarding human practice projects throughout the iGEM history. Interview questions were formed to show iGEM judges’ view on the previously done projects. Last but not least, search engine helps to find the desired information from the mass database more easily. However, due to the complexity and high level of computer coding knowledge required to build the search engine, we decided to reach out for help. Kevin Christian Wongso, a graduate of the HKUST class 2014, who has a bachelor degree in computer science has lent us a helping hand. Thanks to his help, now users are able to search for information they want by simply typing a few keywords.


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