Team:UIUC-Illinois/HumanPract

From 2011.igem.org

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         <div class="desc">To understand the cause of human errors in Synthetic Biology, we made a short survey outlining the techniques that people commonly use to create synthetic gene circuits. We collected the opinions from research fellows in biology labs on which techniques they find are particularly error prone and which ones are relatively error free. Their responses are helpful in understanding issues related to consistency in implementing synthetic gene networks. One example of how we may use results from this survey is to identify processes that would significantly benefit from automation.</div>
         <div class="desc">To understand the cause of human errors in Synthetic Biology, we made a short survey outlining the techniques that people commonly use to create synthetic gene circuits. We collected the opinions from research fellows in biology labs on which techniques they find are particularly error prone and which ones are relatively error free. Their responses are helpful in understanding issues related to consistency in implementing synthetic gene networks. One example of how we may use results from this survey is to identify processes that would significantly benefit from automation.</div>
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        <div class="title">Result Analysis</div>
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         <div class="desc">We have people rate their overall competency. We analyze the results based on the competency and make a bar graph below. According to people’s responses, PCR inclined to making the most errors while picking colonies and making the media inclined to making fewer errors. Therefore, we can interpret that PCR probably will be most benefitted from an automation process. </div>
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Revision as of 02:40, 29 September 2011

University of Illinois iGEM Team
Human Practices Project
Human Practices Navigation
Overview
Safety

Who We Are
Amanda Chang
"A watched gel never runs"
Abstract
Our human practice project has three components: Survey results regarding error-proneness in constructing synthetic gene circuits, a Synthetic Biology College Course proposal, and Synthetic Biology for Educators.
The college course was recently developed, and surveys are still being taken by students attending the University of Illinois in Urbana-Champaign. The initial survey results have been shown here.
To understand the cause of human errors in Synthetic Biology, we made a short survey outlining the techniques that people commonly use to create synthetic gene circuits. We collected the opinions from research fellows in biology labs on which techniques they find are particularly error prone and which ones are relatively error free. Their responses are helpful in understanding issues related to consistency in implementing synthetic gene networks. One example of how we may use results from this survey is to identify processes that would significantly benefit from automation.
Result Analysis
We have people rate their overall competency. We analyze the results based on the competency and make a bar graph below. According to people’s responses, PCR inclined to making the most errors while picking colonies and making the media inclined to making fewer errors. Therefore, we can interpret that PCR probably will be most benefitted from an automation process.

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