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	<title>Comments on: Not-so-whole Exome Sequencing</title>
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	<link>http://massgenomics.org/2010/06/not-so-whole-exome-sequencing.html</link>
	<description>Medical genomics in the post-genome era</description>
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		<title>By: German Leparc</title>
		<link>http://massgenomics.org/2010/06/not-so-whole-exome-sequencing.html/comment-page-1#comment-401</link>
		<dc:creator>German Leparc</dc:creator>
		<pubDate>Fri, 06 Aug 2010 13:18:44 +0000</pubDate>
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		<description>What I actually found most interesting is the PCR duplicates and how they significantly dropped when using paired-end reads vs single ends. This means that a lot of people who have been filtering our PCR duplicates on single ends reads have been throwing away a significant amount of data!</description>
		<content:encoded><![CDATA[<p>What I actually found most interesting is the PCR duplicates and how they significantly dropped when using paired-end reads vs single ends. This means that a lot of people who have been filtering our PCR duplicates on single ends reads have been throwing away a significant amount of data!</p>
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		<title>By: cheese</title>
		<link>http://massgenomics.org/2010/06/not-so-whole-exome-sequencing.html/comment-page-1#comment-396</link>
		<dc:creator>cheese</dc:creator>
		<pubDate>Fri, 09 Jul 2010 22:48:15 +0000</pubDate>
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		<description>unfortunately, not apples to apples, but i think it shows the power of paired reads more than a system comparison. fragment vs paired....

both platforms can do paired reads for SNP calling, but i agree illumina has the advantage in the exome market.</description>
		<content:encoded><![CDATA[<p>unfortunately, not apples to apples, but i think it shows the power of paired reads more than a system comparison. fragment vs paired&#8230;.</p>
<p>both platforms can do paired reads for SNP calling, but i agree illumina has the advantage in the exome market.</p>
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