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	<title>Nick Crawford &#187; RNA-seq</title>
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		<title>F$@%ing R: Adventures with Tcltk in OSX</title>
		<link>http://www.ngcrawford.com/2009/10/28/fing-r-adventures-with-tcltk/</link>
		<comments>http://www.ngcrawford.com/2009/10/28/fing-r-adventures-with-tcltk/#comments</comments>
		<pubDate>Wed, 28 Oct 2009 22:04:01 +0000</pubDate>
		<dc:creator>Nick</dc:creator>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[programming]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[RNA-seq]]></category>

		<guid isPermaLink="false">http://www.ngcrawford.com/?p=291</guid>
		<description><![CDATA[I've got a bunch of RNA-seq reads I need to analyze and for the the most part I've been writing my own code to do the analysis.  However, a recent paper in BioInformatics (Wang et al. 2009) describes a new R package for the identification of differentially expressed genes in RNA-seq datasets.  R is a [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.ngcrawford.com/wp-content/uploads/2009/10/Rlogo.jpg"><img class="alignleft size-full wp-image-292" title="Rlogo" src="http://www.ngcrawford.com/wp-content/uploads/2009/10/Rlogo.jpg" alt="Rlogo" width="100" height="76" /></a>I've got a bunch of RNA-seq reads I need to analyze and for the the most part I've been writing my own code to do the analysis.  However, a recent paper in BioInformatics (Wang et al. 2009) describes a new R package for the identification of differentially expressed genes in RNA-seq datasets.  R is a pretty straightforward language with a built-in installation system so I should just have to type two lines of code...</p>
<pre>source(&quot;http://bioconductor.org/biocLite.R&quot;)
biocLite(&quot;DEGseq&quot;)</pre>
<p>Not so quick. When I ran this code R tells me it can't find the DEGseq library. A bit more poking around on the internets and I discover that there's an alternate download site:</p>
<pre>source(&quot;http://bioinfo.au.tsinghua.edu.cn/software/degseq/DEGseqInstall.R&quot;)</pre>
<p>But after installing some dependancies it also spits out a bunch of errors.  I compare the errors... Hmmm... Both installs appear to by dying on the tcl/tk install, but tcltk is a default R library.  I can see it right there in "/Library/Frameworks/R.framework/Resources/library".  Two hours later and after trying a bunch of crap I find this helpful website:</p>
<p><a href="http://cran.r-project.org/bin/macosx/tools/">http://cran.r-project.org/bin/macosx/tools/</a></p>
<p>A quick and dirty install of the <em>tcltk-8.5.5-x11.dmg</em> and now "library(tcltk") works like a charm.  No errors.</p>
<p>I install DEGseq with the following set of commands:</p>
<pre>source(&quot;http://bioconductor.org/biocLite.R&quot;)
biocLite(&quot;DEGseq&quot;)</pre>
<p>Now, a day an a half later I can see if it's useful. Woo.</p>
<p><strong>Citations:</strong></p>
<p><em>L Wang, Z Feng, X Wang, X Wang, X Zhang. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics (2009)</em></p>
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