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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>Computer Science Student Defense:: Jacob Pritt, Johns Hopkins University &#x2013; &#x201C;Methods for Identifying Variation in Large-Scale Genomic Data&#x201D; - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/event/computer-science-student-defense-jacob-pritt-johns-hopkins-university-methods-for-identifying-variation-in-large-scale-genomic-data/"&gt;Computer Science Student Defense:: Jacob Pritt, Johns Hopkins University &#x2013; &#x201C;Methods for Identifying Variation in Large-Scale Genomic Data&#x201D;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/event/computer-science-student-defense-jacob-pritt-johns-hopkins-university-methods-for-identifying-variation-in-large-scale-genomic-data/embed/" width="600" height="338" title="&#x201C;Computer Science Student Defense:: Jacob Pritt, Johns Hopkins University &#x2013; &#x201C;Methods for Identifying Variation in Large-Scale Genomic Data&#x201D;&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>LocationMalone 107AbstractThe rise of next-generation sequencing has produced an abundance of data with almost limitless analysis applications. As sequencing technology decreases in cost and increases in throughput, the amount of available data is quickly outpacing improvements in processor speed. Analysis methods must also increase in scale to remain computationally tractable. At the same time, larger&hellip;</description></oembed>
