Difference between revisions of "Team:Toronto"

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<p>Inline <strong>markdown</strong>!</p>
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<p>TORONTO</p>
<h1> Welcome to iGEM 2017! </h1>
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<p>More working md?</p>
<p>Your team has been approved and you are ready to start the iGEM season! </p>
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<h5>Before you start: </h5>
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<p> Please read the following pages:</p>
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<ul>
 
<ul>
<li> <a href="https://2017.igem.org/Competition">Competition Hub</a> </li>
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<li>yes</li>
<li> <a href="https://2017.igem.org/Competition/Deliverables/Wiki">Wiki Requirements page</a></li>
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<li>no</li>
<li> <a href="https://2017.igem.org/Resources/Template_Documentation">Template documentation</a></li>
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</ul>
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<h5> Styling your wiki </h5>
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<p>You may style this page as you like or you can simply leave the style as it is. You can easily keep the styling and edit the content of these default wiki pages with your project information and completely fulfill the requirement to document your project.</p>
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<p>While you may not win Best Wiki with this styling, your team is still eligible for all other awards. This default wiki meets the requirements, it improves navigability and ease of use for visitors, and you should not feel it is necessary to style beyond what has been provided.</p>
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<h5> Wiki template information </h5>
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<p>We have created these wiki template pages to help you get started and to help you think about how your team will be evaluated. You can find a list of all the pages tied to awards here at the <a href="https://2017.igem.org/Judging/Pages_for_Awards">Pages for awards</a> link. You must edit these pages to be evaluated for medals and awards, but ultimately the design, layout, style and all other elements of your team wiki is up to you!</p>
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<h5> Editing your wiki </h5>
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<p>On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world! </p>
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<p> <a href="https://2017.igem.org/wiki/index.php?title=Team:Example&action=edit"> </a>Use WikiTools - Edit in the black menu bar to edit this page</p>
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<h5>Tips</h5>
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<p>This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started: </p>
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<ul>
 
<ul>
<li>State your accomplishments! Tell people what you have achieved from the start. </li>
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<li><a href="https://2017.igem.org/Team:Toronto"><span>home</span></a></li>
<li>Be clear about what you are doing and how you plan to do this.</li>
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</li>
<li>You have a global audience! Consider the different backgrounds that your users come from.</li>
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<li><a href="#"><span>team</span></a>
<li>Make sure information is easy to find; nothing should be more than 3 clicks away.  </li>
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<li>Avoid using very small fonts and low contrast colors; information should be easy to read.  </li>
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<li>Start documenting your project as early as possible; don’t leave anything to the last minute before the Wiki Freeze. For a complete list of deadlines visit the <a href="https://2017.igem.org/Calendar">iGEM 2017 calendar</a> </li>
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<li>Have lots of fun! </li>
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</ul>  
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<h5>Inspiration</h5>
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<p> You can also view other team wikis for inspiration! Here are some examples:</p>
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<ul>
 
<ul>
<li> <a href="https://2014.igem.org/Team:SDU-Denmark/"> 2014 SDU Denmark </a> </li>
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<li><a href="https://2017.igem.org/Team:Toronto/Team"><span>team</span></a></li>
<li> <a href="https://2014.igem.org/Team:Aalto-Helsinki">2014 Aalto-Helsinki</a> </li>
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</li>
<li> <a href="https://2014.igem.org/Team:LMU-Munich">2014 LMU-Munich</a> </li>
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<li><a href="https://2017.igem.org/Team:Toronto/Collaborations"><span>collaborations</span></a></li>
<li> <a href="https://2014.igem.org/Team:Michigan"> 2014 Michigan</a></li>
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</li>
<li> <a href="https://2014.igem.org/Team:ITESM-Guadalajara">2014 ITESM-Guadalajara </a></li>
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</ul>
<li> <a href="https://2014.igem.org/Team:SCU-China"> 2014 SCU-China </a></li>
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<li><a href="#"><span>project</span></a>
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<ul>
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<li><a href="https://2017.igem.org/Team:Toronto/Description"><span>description</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Design"><span>design</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Experiments"><span>experiments</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Proof"><span>proof</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Demonstrate"><span>demonstrate</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Results"><span>results</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Notebook"><span>notebook</span></a></li>
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</li>
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</ul>
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<li><a href="#"><span>parts</span></a>
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<ul>
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<li><a href="https://2017.igem.org/Team:Toronto/Parts"><span>parts</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Basic_Part"><span>basic_part</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Composite_Part"><span>composite_part</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Part_Collection"><span>part_collection</span></a></li>
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</li>
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</ul>
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<li><a href="https://2017.igem.org/Team:Toronto/Safety"><span>safety</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Attributions"><span>attributions</span></a></li>
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</li>
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<li><a href="#"><span>human_practices</span></a>
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<ul>
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<li><a href="https://2017.igem.org/Team:Toronto/Human_Practices"><span>human_practices</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/HP-Silver"><span>silver</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/HP-Gold"><span>gold</span></a></li>
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<li><a href="https://2017.igem.org/Team:Toronto/Integrated_Practices"><span>integrated_practices</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Engagement"><span>engagement</span></a></li>
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</li>
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</ul>
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<li><a href="#"><span>awards</span></a>
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<li><a href="https://2017.igem.org/Team:Toronto/Entrepreneurship"><span>entrepreneurship</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Hardware"><span>hardware</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Software"><span>software</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Measurement"><span>measurement</span></a></li>
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</li>
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<li><a href="https://2017.igem.org/Team:Toronto/Model"><span>model</span></a></li>
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</li>
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</ul>
 
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<div class="content" id="content-main"><div class="row"><div class="col col-lg-8 col-md-12"><div class="content-main"><h2 id="project-description">Project Description</h2>
<h5> Uploading pictures and files </h5>
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<p>The University of Toronto will be developing a portable synthetic biological sensor for gold, and a deep neural network for discovering novel genes involved in gold biomineralization.</p>
<p> You can upload your pictures and files to the iGEM 2017 server. Remember to keep all your pictures and files within your team's namespace or at least include your team's name in the file name. <br />
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<p>Biological methods can be used to detect metal ions, complexes and nanoparticles. Biosensing refers to a collection of techniques which utilize existing biological pathways and complexes to detect specific metals in various samples, such as those from soil and drinking water. Biosensing has been found to occur in relation to iron, zinc, copper, silver, gold and cadmium.</p>
When you upload, set the "Destination Filename" to <br><code>T--YourOfficialTeamName--NameOfFile.jpg</code>. (If you don't do this, someone else might upload a different file with the same "Destination Filename", and your file would be erased!)<br><br>
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<p>Here, we propose an environmentally-friendly approach to biosensing through design and implementation of novel synthetic biology solutions for the mining industry. By creating cell-free paper-based biosensors, we intend to develop a quick, easy and affordable method for detection of gold in soil samples. Our team plans on tackling through use of a transcriptional activator, GolS, and its variants, which induce their associated reporter genes in the presence of gold ions. These reporter genes will be selected to act as visual indicators. Our computational team will augment this project by engineering a smartphone application for colorimetric analysis. This will be done using the smartphone’s camera input of the visual indicators to estimate the amount of gold present in a sample. The computational team will also be developing a pipeline to identify gene clusters related to a given function of interest. This data mining module will allow its user to search for homologous gene clusters as potential gold resistant or accumulation genes like alternatives to the del cluster.</p>
 
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<a href="https://2017.igem.org/Special:Upload">
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UPLOAD FILES
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Revision as of 10:13, 13 June 2017

Project Description

The University of Toronto will be developing a portable synthetic biological sensor for gold, and a deep neural network for discovering novel genes involved in gold biomineralization.

Biological methods can be used to detect metal ions, complexes and nanoparticles. Biosensing refers to a collection of techniques which utilize existing biological pathways and complexes to detect specific metals in various samples, such as those from soil and drinking water. Biosensing has been found to occur in relation to iron, zinc, copper, silver, gold and cadmium.

Here, we propose an environmentally-friendly approach to biosensing through design and implementation of novel synthetic biology solutions for the mining industry. By creating cell-free paper-based biosensors, we intend to develop a quick, easy and affordable method for detection of gold in soil samples. Our team plans on tackling through use of a transcriptional activator, GolS, and its variants, which induce their associated reporter genes in the presence of gold ions. These reporter genes will be selected to act as visual indicators. Our computational team will augment this project by engineering a smartphone application for colorimetric analysis. This will be done using the smartphone’s camera input of the visual indicators to estimate the amount of gold present in a sample. The computational team will also be developing a pipeline to identify gene clusters related to a given function of interest. This data mining module will allow its user to search for homologous gene clusters as potential gold resistant or accumulation genes like alternatives to the del cluster.