Difference between revisions of "Team:Tokyo Tech/InterLab"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<section class="engine"><a href="https://mobirise.info/j">website templates</a></section><section class="cid-r5ehuhHDnG mbr-fullscreen mbr-parallax-background" id="header2-6">
  
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<h1>InterLab</h1>
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<h3>Bronze Medal Criterion #4</h3>
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<p><b>Standard Tracks:</b> Participate in the Interlab Measurement Study and/or obtain new, high quality experimental characterization data for an existing BioBrick Part or Device and enter this information on that part's Main Page in the Registry. The part that you are characterizing must NOT be from a 2018 part number range.
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For teams participating in the <a href="https://2018.igem.org/Measurement/InterLab">InterLab study</a>, all work must be shown on this page.
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                <h1 class="mbr-section-title mbr-bold pb-3 mbr-fonts-style display-1">PROJECT</h1>
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                    Click any text to edit or style it. Select text to insert a link. Click blue "Gear" icon in the top right corner to hide/show buttons, text, title and change the block background. Click red "+" in the bottom right corner to add a new block. Use the top left menu to create new pages, sites and add themes.
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                            <p class="mbr-text mb-0 mbr-fonts-style display-7"><br>Dengue virus, which is in the flavivirus family, is a worldwide spread virus and has huge impact on society, however, not many developing countries are recognizing its danger.<br><br></p>
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            <div class="mbr-text col-12 col-md-8 mbr-fonts-style display-7">Dengue virus is unique in terms of its four different serotypes. Multiple infection can easily cause severe dengue, appearing hemorrhage and organ damage. It is important to grasp which serotype the patient is infected, however, there is not enough data about each serotype in a year.<div><br></div><div>To tackle the situation, we took the following two approaches.</div></div>
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                    <li><span style="font-size: 1rem;"><strong>MODELLING</strong>&nbsp;- We succeeded in the development of the serotype prediction system using stochastic process analysis. This system can predict the patient's serotype by simulating the past data. </span><a href="https://mobirise.co/" style="font-size: 1rem; background-color: rgb(255, 255, 255);">Try it now!</a><br></li>
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                    <li><strong>FINDING FLAVI</strong>&nbsp;- We also developed the simple and fast testing kit that can detect serotype with fluorescence, so that we can check the patient easily and get enough data to estimate the patients’ serotypes more accurate. <a href="https://mobirise.co/">Try it now!</a></li>
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            <div class="mbr-text col-12 col-md-8 mbr-fonts-style display-7">In the future, this system can contribute to other flavivirus detection system.<div><strong><br></strong></div></div>
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Revision as of 00:25, 12 October 2018

Human Practice Overview
website templates

PROJECT

Click any text to edit or style it. Select text to insert a link. Click blue "Gear" icon in the top right corner to hide/show buttons, text, title and change the block background. Click red "+" in the bottom right corner to add a new block. Use the top left menu to create new pages, sites and add themes.

Mobirise


Dengue virus, which is in the flavivirus family, is a worldwide spread virus and has huge impact on society, however, not many developing countries are recognizing its danger.

Dengue virus is unique in terms of its four different serotypes. Multiple infection can easily cause severe dengue, appearing hemorrhage and organ damage. It is important to grasp which serotype the patient is infected, however, there is not enough data about each serotype in a year.

To tackle the situation, we took the following two approaches.
  1. MODELLING - We succeeded in the development of the serotype prediction system using stochastic process analysis. This system can predict the patient's serotype by simulating the past data. Try it now!
  2. FINDING FLAVI - We also developed the simple and fast testing kit that can detect serotype with fluorescence, so that we can check the patient easily and get enough data to estimate the patients’ serotypes more accurate. Try it now!
In the future, this system can contribute to other flavivirus detection system.

Address

2 Chome-12-1
Ookayama, Meguro, Tokyo

Contacts

Email: igem2018tokyotech@gmail.com