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	<title>Comments on: Bioinformatics basics and beyond</title>
	<link>http://ask.metafilter.com/102638/Bioinformatics-basics-and-beyond/</link>
	<description>Comments on Ask MetaFilter post Bioinformatics basics and beyond</description>
	<pubDate>Thu, 25 Sep 2008 13:06:12 -0800</pubDate>
	<lastBuildDate>Thu, 25 Sep 2008 13:06:12 -0800</lastBuildDate>
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		<title>Question: Bioinformatics basics and beyond</title>
		<link>http://ask.metafilter.com/102638/Bioinformatics-basics-and-beyond</link>	
		<description>Bioinformatics filter: Suggestions for resources to get up to speed on current approaches in genomics and bioinformatics?  &lt;br /&gt;&lt;br /&gt; I have a graduate-level biochemistry background, but in a different area, and am interested in getting up-to-date on where this part of the field is developing. I&apos;m hoping there are others in the Hive Mind who are much closer to this cutting edge and can point me to some good resources for an &quot;advanced beginner&quot;. &lt;br&gt;
&lt;br&gt;
I would appreciate reviews, tutorials, or textbook suggestions on &lt;em&gt;in vitro&lt;/em&gt; and &lt;em&gt;in vivo&lt;/em&gt; experimental methods, as well as computational/bioinformatics methods and tools to try to make sense of the great flood of information. &lt;br&gt;
&lt;br&gt;
I&apos;ve already got a few easy-to-find resouces to start: this &lt;a href=&quot;http://www.ornl.gov/sci/techresources/Human_Genome/posters/chromosome/tools.shtml&quot;&gt; bioinformatics tutorial page&lt;/a&gt;, the NCBI &lt;a href=&quot;http://www.ncbi.nlm.nih.gov/Tools/&quot;&gt; Tools for Data Mining&lt;/a&gt; page, and the NCBI Science Primers, such as this &lt;a href=&quot;http://www.ncbi.nlm.nih.gov/About/primer/microarrays.html&quot;&gt;microarray&lt;/a&gt; page. &lt;br&gt;
&lt;br&gt;
Any and all other suggestions (journal articles? user groups or listservs? more?) are welcome. Thanks so much!</description>
		<guid isPermaLink="false">post:ask.metafilter.com,2008:site.102638</guid>
		<pubDate>Thu, 25 Sep 2008 12:37:30 -0800</pubDate>
		<dc:creator>Sublimity</dc:creator>
		
			<category>bioinformatics</category>
		
			<category>genomics</category>
		
			<category>microarrays</category>
		
	</item> <item>
		<title>By: halogen</title>
		<link>http://ask.metafilter.com/102638/Bioinformatics-basics-and-beyond#1487969</link>	
		<description>Sublimity, where are you located? My school (a research university), for example, sponsor weekly/bi-weekly &lt;a href=&quot;http://cohesion.rice.edu/centersandinst/gcc/keck_events.cfm?CAID=133&amp;Evt=66&amp;&quot;&gt;seminars&lt;/a&gt; which are free to attend and open to the public. Oh, and they serve free lunch, by the way. I have found it helpful (and enjoyable) to see the application of computational methods rather than just read about them &lt;a href=&quot;http://www.amazon.com/exec/obidos/ASIN/0879697121/metafilter-20/ref=nosim/&quot;&gt;in a book&lt;/a&gt; and do immense yet mind-numbingly dull &lt;a href=&quot;http://cnx.org/content/col10152/latest/&quot;&gt;homework assignments&lt;/a&gt;. Also, look around for conferences that are open to the public, such as the &lt;a href=&quot;http://cohesion.rice.edu/centersandinst/gcc/keck_about.cfm?doc_id=12591&quot;&gt;Keck Center Annual Research Conference&lt;/a&gt; in Houston. Last year, I had to drag my boyfriend (visiting from Seattle, so he was stuck with me), and even he as a computer scientist found some aspects of it interesting (okay, there is a chance that he may have lied about that). They also had free lunch for everyone, by the way.&lt;br&gt;
&lt;br&gt;
Sorry if this is of no help at all. I tried my hand at bioinformatics with much enthusiasm, but have found out that it is way too reductionist for me.</description>
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		<pubDate>Thu, 25 Sep 2008 13:06:12 -0800</pubDate>
		<dc:creator>halogen</dc:creator>
	</item><item>
		<title>By: TheOtherGuy</title>
		<link>http://ask.metafilter.com/102638/Bioinformatics-basics-and-beyond#1488102</link>	
		<description>I am a little biased, as it is my area of research, but these days there is a very large overlap between bioinformatics (as it relates to genetic information) and structural biology (the three-dimensional structure of proteins). &lt;br&gt;
&lt;br&gt;
The touchstone for all things structural biology computation is the &lt;a href=&quot;http://www.ccp4.ac.uk/ccp4bb.php&quot;&gt;ccp4 bulletin board&lt;/a&gt;. Many of the prominent members of the bulletin board were instrumental in the writing of software used in resolving the crystal structures of protein (which quite often uses data-mining of genomic databases). Indeed CCP4 is the name of an open source software package that many structual biologists use. Might be a little advanced for an &apos;advanced beginner&apos;, and there is a lot of off-topic stuff that gets posted, but everybody who is anybody in structural biology computation hangs out there. &lt;br&gt;
&lt;br&gt;
Oh.. and here is a good link on using &lt;a href=&quot;http://www.onlamp.com/pub/a/python/2002/10/17/biopython.html&quot;&gt;Python in bioinformatics.&lt;/a&gt; &lt;br&gt;
&lt;br&gt;
email is in the profile if you would like some more resources more specifically tailored to what you are looking for.</description>
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		<pubDate>Thu, 25 Sep 2008 14:29:36 -0800</pubDate>
		<dc:creator>TheOtherGuy</dc:creator>
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