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	<title>Comments on: One girl, one exome</title>
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	<link>http://blogs.discovermagazine.com/gnxp/2012/10/one-girl-one-exome/</link>
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		<title>By: Razib Khan</title>
		<link>http://blogs.discovermagazine.com/gnxp/2012/10/one-girl-one-exome/#comment-47954</link>
		<dc:creator>Razib Khan</dc:creator>
		<pubDate>Mon, 22 Oct 2012 16:48:02 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.discovermagazine.com/gnxp/?p=18866#comment-47954</guid>
		<description>#2, in this case i obviously wasn&#039;t talking about GWAS. i think one of the &#039;low hanging&#039; near term fruit with mass adoption of 100x coverage may be a better understanding of individual mutational load. re: GWAS, etc., the sample sizes are way too small. see openSNP for testament to that. but they won&#039;t be (and 23andMe is trying to really scale this up). platform matters, but so does cost so that the data pipeline gets fat. talk to me in 2-3 years. there are firms working on this sort of thing....</description>
		<content:encoded><![CDATA[<p>#2, in this case i obviously wasn&#8217;t talking about GWAS. i think one of the &#8216;low hanging&#8217; near term fruit with mass adoption of 100x coverage may be a better understanding of individual mutational load. re: GWAS, etc., the sample sizes are way too small. see openSNP for testament to that. but they won&#8217;t be (and 23andMe is trying to really scale this up). platform matters, but so does cost so that the data pipeline gets fat. talk to me in 2-3 years. there are firms working on this sort of thing&#8230;.</p>
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		<title>By: zach</title>
		<link>http://blogs.discovermagazine.com/gnxp/2012/10/one-girl-one-exome/#comment-47953</link>
		<dc:creator>zach</dc:creator>
		<pubDate>Mon, 22 Oct 2012 15:53:40 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.discovermagazine.com/gnxp/?p=18866#comment-47953</guid>
		<description>the problem I see with this and the DIY approach is that the scientist&#039;s family isn&#039;t going to be a big enough n for most association metrics and, for many applications, the covariation due to relatedness will possibly obscure learning, not enhance it.

What are your thoughts on this: do DIY geneticists have the kind of data available to get the most of their statistics?</description>
		<content:encoded><![CDATA[<p>the problem I see with this and the DIY approach is that the scientist&#8217;s family isn&#8217;t going to be a big enough n for most association metrics and, for many applications, the covariation due to relatedness will possibly obscure learning, not enhance it.</p>
<p>What are your thoughts on this: do DIY geneticists have the kind of data available to get the most of their statistics?</p>
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		<title>By: John Emerson</title>
		<link>http://blogs.discovermagazine.com/gnxp/2012/10/one-girl-one-exome/#comment-47952</link>
		<dc:creator>John Emerson</dc:creator>
		<pubDate>Mon, 22 Oct 2012 13:47:13 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.discovermagazine.com/gnxp/?p=18866#comment-47952</guid>
		<description>&lt;i&gt;I don’t think open and DIY science is going to be the whole future, but it is going to be a substantial part of the future. &lt;/i&gt;

I hope that this is true for all fields. The academic monopoly has had a number of harmful effects in many areas.</description>
		<content:encoded><![CDATA[<p><i>I don’t think open and DIY science is going to be the whole future, but it is going to be a substantial part of the future. </i></p>
<p>I hope that this is true for all fields. The academic monopoly has had a number of harmful effects in many areas.</p>
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