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	<title>Comments on: Surprises in biological databases &#8211; nr</title>
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	<link>http://freelancingscience.com/2008/05/25/surprises-in-biological-databases-nr/</link>
	<description>visualization, protein science, open science and freelancing science</description>
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		<title>By: Pawel Szczesny</title>
		<link>http://freelancingscience.com/2008/05/25/surprises-in-biological-databases-nr/#comment-418</link>
		<dc:creator>Pawel Szczesny</dc:creator>
		<pubDate>Wed, 28 May 2008 16:06:03 +0000</pubDate>
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		<description>I must admit it happened to me first time. Last time I did some clustering (maybe a year ago) I didn&#039;t notice any issues but on the other hand new things appear in the GenBank much faster than before.</description>
		<content:encoded><![CDATA[<p>I must admit it happened to me first time. Last time I did some clustering (maybe a year ago) I didn&#8217;t notice any issues but on the other hand new things appear in the GenBank much faster than before.</p>
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		<title>By: Kay at Suicyte</title>
		<link>http://freelancingscience.com/2008/05/25/surprises-in-biological-databases-nr/#comment-417</link>
		<dc:creator>Kay at Suicyte</dc:creator>
		<pubDate>Sun, 25 May 2008 20:36:37 +0000</pubDate>
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		<description>A lot of programs choke on excessively long FASTA headers. Readseq is one example that comes to mind. I routinely pass FASTA-formatted database sequences through a &#039;cut&#039; filter before passing them on to sequence analysis programs</description>
		<content:encoded><![CDATA[<p>A lot of programs choke on excessively long FASTA headers. Readseq is one example that comes to mind. I routinely pass FASTA-formatted database sequences through a &#8216;cut&#8217; filter before passing them on to sequence analysis programs</p>
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