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	<title>Comments on: GYRA : CCMAR Computational Cluster (NGS)</title>
	<atom:link href="https://www.biofacebook.com/?feed=rss2&#038;p=228" rel="self" type="application/rss+xml" />
	<link>https://www.biofacebook.com/?p=228</link>
	<description>记录生物信息学点滴足迹（NGS,Genome,Meta,Linux)</description>
	<lastBuildDate>Thu, 19 Jul 2018 14:56:43 +0000</lastBuildDate>
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		<title>By: Haris Aarbi</title>
		<link>https://www.biofacebook.com/?p=228#comment-5495</link>
		<dc:creator><![CDATA[Haris Aarbi]]></dc:creator>
		<pubDate>Thu, 19 Jul 2018 14:56:43 +0000</pubDate>
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		<description><![CDATA[Very Useful inormation]]></description>
		<content:encoded><![CDATA[<p>Very Useful inormation</p>
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		<title>By: Jhonloyd</title>
		<link>https://www.biofacebook.com/?p=228#comment-142</link>
		<dc:creator><![CDATA[Jhonloyd]]></dc:creator>
		<pubDate>Fri, 10 Aug 2012 19:40:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.biofacebook.com/?p=228#comment-142</guid>
		<description><![CDATA[I think that each and every line of a computational pepiline for a paper has to be made public together with the the text of the paper. We will see more and more problems like this and sooner or later journals will be obliged to to put data files and analysis source code together with the manuscript on their website. There will be few people who go through the source, I admit, but in case of an error one undergrad student can be enough.And more and more biologists know how to program in Perl. In the long run, many readers will be able to grasp at least some ideas of a piece of source code.Another advantage of having code available is that all of us can easily learn from other people. Another advantage of open pepilines is that it forces you to keep them neat and clean up the mess in your temp/justATest/FinalResul-directories.In my opinion (I&#039;m a computer scientist), bioinformatics papers are a lot more obscure than real biology papers and reviewers are more critical there when it comes to  materials and methods  than in bioinformatics.]]></description>
		<content:encoded><![CDATA[<p>I think that each and every line of a computational pepiline for a paper has to be made public together with the the text of the paper. We will see more and more problems like this and sooner or later journals will be obliged to to put data files and analysis source code together with the manuscript on their website. There will be few people who go through the source, I admit, but in case of an error one undergrad student can be enough.And more and more biologists know how to program in Perl. In the long run, many readers will be able to grasp at least some ideas of a piece of source code.Another advantage of having code available is that all of us can easily learn from other people. Another advantage of open pepilines is that it forces you to keep them neat and clean up the mess in your temp/justATest/FinalResul-directories.In my opinion (I&#8217;m a computer scientist), bioinformatics papers are a lot more obscure than real biology papers and reviewers are more critical there when it comes to  materials and methods  than in bioinformatics.</p>
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