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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">Gene-Wei Li <gwli@mit.edu><br>
<b>Subject: </b>UROP ad<o:p></o:p></span></p>
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<p class="MsoNormal"><a name="_MailOriginalBody"><b>Spring</b></a><span style="mso-bookmark:_MailOriginalBody"><b><span style="font-size:12.0pt"><o:p></o:p></span></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>UROP Department, Lab, or Center: Biology (Course 7)<o:p></o:p></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>MIT Faculty Supervisor Name: Gene-Wei Li<o:p></o:p></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b><o:p> </o:p></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>Project Title</b>: Web-based data visualization for high-resolution transcriptome mapping<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>Project Description</b>: High-throughput DNA sequencing has been a transformative tool for quantifying the expression of genomes. However, there lacks an intuitive and accessible platform
for data visualization and for sharing among scientists across different disciplines. The Li lab has recently developed an end-enriched RNA-seq method that provides a high-resolution view of transcriptome with single-nucleotide resolution. These genome-wide
data sets provide comprehensive information about regulatory elements that will benefit the broader research community. We are looking for a UROP to develop a web-based visualization tool for interactive analysis of this new data type. Extension of this project
may involve development of a mobile app, as well as other computational biology projects. This position is available for pay or credit.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>Prerequisites</b>: Familiarity with genomic data is a plus, but not necessary. Independent and self-driven student.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><b>Contact:</b> Cindy Woolley:
</span><a href="mailto:cwoolley@mit.edu"><span style="mso-bookmark:_MailOriginalBody">cwoolley@mit.edu</span><span style="mso-bookmark:_MailOriginalBody"></span></a><span style="mso-bookmark:_MailOriginalBody">. Please send a concise cover letter, a resume
with relevant experience, and the number of hours you could work on the project.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_MailOriginalBody"><o:p> </o:p></span></p>
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