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	<title>Comments on: A lens on the sciences</title>
	<atom:link href="http://blogs.oregonstate.edu/glencora/2011/05/09/a-lens-on-the-sciences/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.oregonstate.edu/glencora/2011/05/09/a-lens-on-the-sciences/</link>
	<description>Assistant Professor, School of Electrical Engineering and Computer Science, Oregon State University</description>
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		<title>By: Glencora</title>
		<link>http://blogs.oregonstate.edu/glencora/2011/05/09/a-lens-on-the-sciences/#comment-187</link>
		<dc:creator>Glencora</dc:creator>
		<pubDate>Thu, 21 Jul 2011 19:28:59 +0000</pubDate>
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		<description><![CDATA[Ouch.]]></description>
		<content:encoded><![CDATA[<p>Ouch.</p>
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		<title>By: Anon</title>
		<link>http://blogs.oregonstate.edu/glencora/2011/05/09/a-lens-on-the-sciences/#comment-186</link>
		<dc:creator>Anon</dc:creator>
		<pubDate>Thu, 07 Jul 2011 03:28:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.glencora.org/?p=646#comment-186</guid>
		<description><![CDATA[Berkeley has exactly 2 female Theory students out of a group of 24.]]></description>
		<content:encoded><![CDATA[<p>Berkeley has exactly 2 female Theory students out of a group of 24.</p>
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		<title>By: Christina</title>
		<link>http://blogs.oregonstate.edu/glencora/2011/05/09/a-lens-on-the-sciences/#comment-185</link>
		<dc:creator>Christina</dc:creator>
		<pubDate>Thu, 30 Jun 2011 05:22:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.glencora.org/?p=646#comment-185</guid>
		<description><![CDATA[Bravo for a great post.  I really believe more (notice I didn&#039;t say all) algorithmic research should be inspired by problems in other scientific disciplines. I really believe the future of high-impact computer science research is in inter-disciplinary study.

I thought I would pitch in two cents about phylogenetic algorithms (aka determining an evolutionary tree).  On first sight, it may appear esoteric by studying evolution using machine learning algorithms but the use and application of these algorithms goes a lot deeper.  There is a plethora of research in trying determine portions of the human genome that are under selection during the long term use of HIV-1 drugs that makes use of these phylogenetic algorithms.  This (type of) research would not be possible without (a) efficient, sophisticated algorithms and (b) HPC (high performance computing.

Another example of the necessity of algorithmic research in Biology is full genome sequencing.  DNA fragment assembly is a computational step in genome sequencing that is (in my opinion) purely an algorithmic problem.]]></description>
		<content:encoded><![CDATA[<p>Bravo for a great post.  I really believe more (notice I didn&#8217;t say all) algorithmic research should be inspired by problems in other scientific disciplines. I really believe the future of high-impact computer science research is in inter-disciplinary study.</p>
<p>I thought I would pitch in two cents about phylogenetic algorithms (aka determining an evolutionary tree).  On first sight, it may appear esoteric by studying evolution using machine learning algorithms but the use and application of these algorithms goes a lot deeper.  There is a plethora of research in trying determine portions of the human genome that are under selection during the long term use of HIV-1 drugs that makes use of these phylogenetic algorithms.  This (type of) research would not be possible without (a) efficient, sophisticated algorithms and (b) HPC (high performance computing.</p>
<p>Another example of the necessity of algorithmic research in Biology is full genome sequencing.  DNA fragment assembly is a computational step in genome sequencing that is (in my opinion) purely an algorithmic problem.</p>
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