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	<title>Nick Crawford &#187; python</title>
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	<link>http://www.ngcrawford.com</link>
	<description>Evolution and more...</description>
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		<title>Blue Collar Bioinformatics</title>
		<link>http://www.ngcrawford.com/2009/11/22/blue-collar-bioinformatics/</link>
		<comments>http://www.ngcrawford.com/2009/11/22/blue-collar-bioinformatics/#comments</comments>
		<pubDate>Mon, 23 Nov 2009 02:02:07 +0000</pubDate>
		<dc:creator>Nick</dc:creator>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[programming]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[R]]></category>

		<guid isPermaLink="false">http://www.ngcrawford.com/?p=313</guid>
		<description><![CDATA[Just wanted to recommend Blue Collar Bioinformatics a slick blog with lots of useful bioinformatics scripts.  Everything is written in python and the full working source is typically available on GIT.
]]></description>
			<content:encoded><![CDATA[<p>Just wanted to recommend <a href="http://bcbio.wordpress.com/">Blue Collar Bioinformatics</a> a slick blog with lots of useful bioinformatics scripts.  Everything is written in python and the full working source is typically available on GIT.</p>
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		<title>How to emulate Blast&#8217;s &#8220;Short Sequence Parameters&#8221;</title>
		<link>http://www.ngcrawford.com/2008/10/27/how-to-emulate-blasts-short-sequence-parameters/</link>
		<comments>http://www.ngcrawford.com/2008/10/27/how-to-emulate-blasts-short-sequence-parameters/#comments</comments>
		<pubDate>Mon, 27 Oct 2008 20:52:29 +0000</pubDate>
		<dc:creator>Nick</dc:creator>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[biopython]]></category>
		<category><![CDATA[blast]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://www.ngcrawford.com/?p=77</guid>
		<description><![CDATA[I just spent an hour figuring out how to emulate Blast's "Short Sequence Search Parameters" in BioPython 1.48.   To use PAM30 as your matrix you must use existence and extension parameters (e.g. gap costs) of 9 and 1.
Here's what I've currently got:
 result_handle = NCBIWWW.qblast&#40;    &#34;blastp&#34;,    &#34;nr&#34;,    [...]]]></description>
			<content:encoded><![CDATA[<p>I just spent an hour figuring out how to emulate Blast's "Short Sequence Search Parameters" in BioPython 1.48.   To use PAM30 as your matrix you must use existence and extension parameters (e.g. gap costs) of 9 and 1.</p>
<p>Here's what I've currently got:</p>
<pre class="python"><ol><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;"> result_handle = NCBIWWW.<span style="color: black;">qblast</span><span style="color: black;">&#40;</span></div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    <span style="color: #483d8b;">&quot;blastp&quot;</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    <span style="color: #483d8b;">&quot;nr&quot;</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    seq_record.<span style="color: black;">seq</span>.<span style="color: black;">tostring</span><span style="color: black;">&#40;</span><span style="color: black;">&#41;</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    matrix_name = <span style="color: #483d8b;">'BLOSUM62'</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    word_size=<span style="color: #483d8b;">'2'</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    expect=<span style="color: #483d8b;">'30000'</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    gapcosts =<span style="color: #483d8b;">'9 1'</span>,</div></li><li style="font-family: 'Courier New', Courier, monospace; color: black; font-weight: normal; font-style: normal;"><div style="font-family: 'Courier New', Courier, monospace; font-weight: normal;">    composition_based_statistics=<span style="color: #483d8b;">'no adjustment'</span><span style="color: black;">&#41;</span> </div></li></ol></pre>
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