Sean Davis avatar Sean Davis committed e35774c

Added javascript to index page to pick up feeds in _feeds

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site/_feeds/bioinformaticstwitter.rss

+<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:google="http://base.google.com/ns/1.0" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:twitter="http://api.twitter.com/"><channel><title>#bioinformatics - Twitter Search</title><description>#bioinformatics - Twitter Search</description><link>http://search.twitter.com/search?q=%23bioinformatics</link><twitter:refresh_url>http://search.twitter.com/search.rss?since_id=246294002016595970&amp;q=%23bioinformatics</twitter:refresh_url><pubDate>Thu, 13 Sep 2012 17:07:20 +0000</pubDate><openSearch:itemsPerPage>15</openSearch:itemsPerPage><item><title>#bioinformatics What&#x2019;s the Answer? (#BioStar categories) | The #OpenHelix Blog | @scoopit http://t.co/P9w3BpyV</title><link>http://twitter.com/cupton1/statuses/246294002016595970</link><description>&lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; What&#x2019;s the Answer? (&lt;a href="http://search.twitter.com/search?q=%23BioStar" title="#BioStar" class=" "&gt;#BioStar&lt;/a&gt; categories) | The &lt;a href="http://search.twitter.com/search?q=%23OpenHelix" title="#OpenHelix" class=" "&gt;#OpenHelix&lt;/a&gt; Blog | @&lt;a class=" " href="https://twitter.com/scoopit"&gt;scoopit&lt;/a&gt; &lt;a href="http://t.co/P9w3BpyV"&gt;http://t.co/P9w3BpyV&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 17:07:20 +0000</pubDate><guid>http://twitter.com/cupton1/statuses/246294002016595970</guid><author>cupton1@twitter.com (Chris Upton)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/62661031/Photo_148_normal.jpg"/><google:image_link>http://a0.twimg.com/profile_images/62661031/Photo_148_normal.jpg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>RT @moorejh: EnrichNet: network-based gene set enrichment analysis http://t.co/1jDNPic3 #bioinformatics from @NKrasnogor</title><link>http://twitter.com/DrDuaneHassane/statuses/246283641955704832</link><description>RT @&lt;a class=" " href="https://twitter.com/moorejh"&gt;moorejh&lt;/a&gt;: EnrichNet: network-based gene set enrichment analysis &lt;a href="http://t.co/1jDNPic3"&gt;http://t.co/1jDNPic3&lt;/a&gt; &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; from @&lt;a class=" " href="https://twitter.com/NKrasnogor"&gt;NKrasnogor&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 16:26:10 +0000</pubDate><guid>http://twitter.com/DrDuaneHassane/statuses/246283641955704832</guid><author>DrDuaneHassane@twitter.com (Duane Hassane)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/2583784167/lwba9j0tkg0os5g5s87b_normal.jpeg"/><google:image_link>http://a0.twimg.com/profile_images/2583784167/lwba9j0tkg0os5g5s87b_normal.jpeg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>GenomeSpace talk at online BioConference starting in 1 hr: Register at http://t.co/yp5p7tzw More info: http://t.co/05l18tey #bioinformatics</title><link>http://twitter.com/genomespace/statuses/246277798795280384</link><description>GenomeSpace talk at online BioConference starting in 1 hr: Register at &lt;a href="http://t.co/yp5p7tzw"&gt;http://t.co/yp5p7tzw&lt;/a&gt; More info: &lt;a href="http://t.co/05l18tey"&gt;http://t.co/05l18tey&lt;/a&gt; &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt;</description><pubDate>Thu, 13 Sep 2012 16:02:57 +0000</pubDate><guid>http://twitter.com/genomespace/statuses/246277798795280384</guid><author>genomespace@twitter.com (GenomeSpace Team)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/1011059560/gs_logo_normal.png"/><google:image_link>http://a0.twimg.com/profile_images/1011059560/gs_logo_normal.png</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>#Bioinformatics and web based research http://t.co/ZzAL2DYP</title><link>http://twitter.com/BrandeisGPS/statuses/246258482737737729</link><description>&lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23Bioinformatics" title="#Bioinformatics" class=" "&gt;#Bioinformatics&lt;/a&gt;&lt;/em&gt; and web based research &lt;a href="http://t.co/ZzAL2DYP"&gt;http://t.co/ZzAL2DYP&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 14:46:12 +0000</pubDate><guid>http://twitter.com/BrandeisGPS/statuses/246258482737737729</guid><author>BrandeisGPS@twitter.com (Brandeis GPS)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/2460218228/xzz0ky8xwvu9hnafzcz0_normal.jpeg"/><google:image_link>http://a0.twimg.com/profile_images/2460218228/xzz0ky8xwvu9hnafzcz0_normal.jpeg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>#bioinformatics Absolute ID Conversion Tools | @scoopit http://t.co/d5GpJRKg</title><link>http://twitter.com/cupton1/statuses/246254124985892864</link><description>&lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; Absolute ID Conversion Tools | @&lt;a class=" " href="https://twitter.com/scoopit"&gt;scoopit&lt;/a&gt; &lt;a href="http://t.co/d5GpJRKg"&gt;http://t.co/d5GpJRKg&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 14:28:53 +0000</pubDate><guid>http://twitter.com/cupton1/statuses/246254124985892864</guid><author>cupton1@twitter.com (Chris Upton)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/62661031/Photo_148_normal.jpg"/><google:image_link>http://a0.twimg.com/profile_images/62661031/Photo_148_normal.jpg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>Top #tweeted story in #bioinformatics: Live Chat: New Treasures in the Genome - Science&#x2026; http://t.co/Wwc8pl3S, see more http://t.co/XBeSKW0t</title><link>http://twitter.com/rnomics/statuses/246252678559182848</link><description>Top &lt;a href="http://search.twitter.com/search?q=%23tweeted" title="#tweeted" class=" "&gt;#tweeted&lt;/a&gt; story in &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt;: Live Chat: New Treasures in the Genome - Science&#x2026; &lt;a href="http://t.co/Wwc8pl3S"&gt;http://t.co/Wwc8pl3S&lt;/a&gt;, see more &lt;a href="http://t.co/XBeSKW0t"&gt;http://t.co/XBeSKW0t&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 14:23:08 +0000</pubDate><guid>http://twitter.com/rnomics/statuses/246252678559182848</guid><author>rnomics@twitter.com (Fabrice Leclerc)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/1607343775/Imagen19_2x_normal.png"/><google:image_link>http://a0.twimg.com/profile_images/1607343775/Imagen19_2x_normal.png</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>#UTPA Cluster Hire for the #RGV Biomedical Health Initiative http://t.co/LVRQWtaU #Psychologist  #Researcher #Bioinformatics #Career</title><link>http://twitter.com/UTPAAlumna/statuses/246252374237265920</link><description>&lt;a href="http://search.twitter.com/search?q=%23UTPA" title="#UTPA" class=" "&gt;#UTPA&lt;/a&gt; Cluster Hire for the &lt;a href="http://search.twitter.com/search?q=%23RGV" title="#RGV" class=" "&gt;#RGV&lt;/a&gt; Biomedical Health Initiative &lt;a href="http://t.co/LVRQWtaU"&gt;http://t.co/LVRQWtaU&lt;/a&gt; &lt;a href="http://search.twitter.com/search?q=%23Psychologist" title="#Psychologist" class=" "&gt;#Psychologist&lt;/a&gt;  &lt;a href="http://search.twitter.com/search?q=%23Researcher" title="#Researcher" class=" "&gt;#Researcher&lt;/a&gt; &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23Bioinformatics" title="#Bioinformatics" class=" "&gt;#Bioinformatics&lt;/a&gt;&lt;/em&gt; &lt;a href="http://search.twitter.com/search?q=%23Career" title="#Career" class=" "&gt;#Career&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 14:21:55 +0000</pubDate><guid>http://twitter.com/UTPAAlumna/statuses/246252374237265920</guid><author>UTPAAlumna@twitter.com (UTPA Alumna)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/2449780250/bc7mssw188qudp5w66ys_normal.jpeg"/><google:image_link>http://a0.twimg.com/profile_images/2449780250/bc7mssw188qudp5w66ys_normal.jpeg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>fixed link RT @mendelspod At the Center of the Bioinformatics Universe with Atul Butte, Stanford http://t.co/wekcUAv6 #bioinformatics</title><link>http://twitter.com/trutane/statuses/246235757419847681</link><description>fixed link RT @&lt;a class=" " href="https://twitter.com/mendelspod"&gt;mendelspod&lt;/a&gt; At the Center of the Bioinformatics Universe with Atul Butte, Stanford &lt;a href="http://t.co/wekcUAv6"&gt;http://t.co/wekcUAv6&lt;/a&gt; &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt;</description><pubDate>Thu, 13 Sep 2012 13:15:54 +0000</pubDate><guid>http://twitter.com/trutane/statuses/246235757419847681</guid><author>trutane@twitter.com (SteveChervitzTrutane)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/91659385/standard_steve_mug_2006_small_normal.png"/><google:image_link>http://a0.twimg.com/profile_images/91659385/standard_steve_mug_2006_small_normal.png</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>RT @GenomeAnalysis: Just over one week left to apply for our exciting job opportunities working in #Bioinformatics, #Genomics http://t.c ...</title><link>http://twitter.com/lipscombe1/statuses/246220356623417345</link><description>RT @&lt;a class=" " href="https://twitter.com/GenomeAnalysis"&gt;GenomeAnalysis&lt;/a&gt;: Just over one week left to apply for our exciting job opportunities working in &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23Bioinformatics" title="#Bioinformatics" class=" "&gt;#Bioinformatics&lt;/a&gt;&lt;/em&gt;, &lt;a href="http://search.twitter.com/search?q=%23Genomics" title="#Genomics" class=" "&gt;#Genomics&lt;/a&gt; http://t.c ...</description><pubDate>Thu, 13 Sep 2012 12:14:42 +0000</pubDate><guid>http://twitter.com/lipscombe1/statuses/246220356623417345</guid><author>lipscombe1@twitter.com (Jim)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/2432118843/a2y9m3n8uz1lljud83o1_normal.jpeg"/><google:image_link>http://a0.twimg.com/profile_images/2432118843/a2y9m3n8uz1lljud83o1_normal.jpeg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>#genomics MT @DrDuaneHassane combining, analyzing, &amp;amp; correcting spatially correlated p-values #bioinformatics http://t.co/QTuSdB30</title><link>http://twitter.com/moorejh/statuses/246214337323204609</link><description>&lt;a href="http://search.twitter.com/search?q=%23genomics" title="#genomics" class=" "&gt;#genomics&lt;/a&gt; MT @&lt;a class=" " href="https://twitter.com/DrDuaneHassane"&gt;DrDuaneHassane&lt;/a&gt; combining, analyzing, &amp;amp; correcting spatially correlated p-values &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; &lt;a href="http://t.co/QTuSdB30"&gt;http://t.co/QTuSdB30&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 11:50:47 +0000</pubDate><guid>http://twitter.com/moorejh/statuses/246214337323204609</guid><author>moorejh@twitter.com (Jason H. Moore, Ph.D)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/289160272/Jason-Science-resized_normal.jpg"/><google:image_link>http://a0.twimg.com/profile_images/289160272/Jason-Science-resized_normal.jpg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>#genomics #bioinformatics MT @johnmoeschler @PHGFoundation #Genetics test to predict #autism http://t.co/2SFqA9OR 237 SNPs, 85% accuracy.</title><link>http://twitter.com/moorejh/statuses/246212611941752832</link><description>&lt;a href="http://search.twitter.com/search?q=%23genomics" title="#genomics" class=" "&gt;#genomics&lt;/a&gt; &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; MT @&lt;a class=" " href="https://twitter.com/johnmoeschler"&gt;johnmoeschler&lt;/a&gt; @&lt;a class=" " href="https://twitter.com/PHGFoundation"&gt;PHGFoundation&lt;/a&gt; &lt;a href="http://search.twitter.com/search?q=%23Genetics" title="#Genetics" class=" "&gt;#Genetics&lt;/a&gt; test to predict &lt;a href="http://search.twitter.com/search?q=%23autism" title="#autism" class=" "&gt;#autism&lt;/a&gt; &lt;a href="http://t.co/2SFqA9OR"&gt;http://t.co/2SFqA9OR&lt;/a&gt; 237 SNPs, 85% accuracy.</description><pubDate>Thu, 13 Sep 2012 11:43:55 +0000</pubDate><guid>http://twitter.com/moorejh/statuses/246212611941752832</guid><author>moorejh@twitter.com (Jason H. Moore, Ph.D)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/289160272/Jason-Science-resized_normal.jpg"/><google:image_link>http://a0.twimg.com/profile_images/289160272/Jason-Science-resized_normal.jpg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>Comb-p: software for combining, analyzing, grouping, and correcting spatially correlated p-values #bioinformatics http://t.co/OYksxZ1p</title><link>http://twitter.com/DrDuaneHassane/statuses/246211994984779776</link><description>Comb-p: software for combining, analyzing, grouping, and correcting spatially correlated p-values &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt; &lt;a href="http://t.co/OYksxZ1p"&gt;http://t.co/OYksxZ1p&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 11:41:28 +0000</pubDate><guid>http://twitter.com/DrDuaneHassane/statuses/246211994984779776</guid><author>DrDuaneHassane@twitter.com (Duane Hassane)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/2583784167/lwba9j0tkg0os5g5s87b_normal.jpeg"/><google:image_link>http://a0.twimg.com/profile_images/2583784167/lwba9j0tkg0os5g5s87b_normal.jpeg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>RT @GenomeAnalysis: Just over one week left to apply for our exciting job opportunities working in #Bioinformatics, #Genomics http://t.c ...</title><link>http://twitter.com/Rawsthorne/statuses/246193867190308866</link><description>RT @&lt;a class=" " href="https://twitter.com/GenomeAnalysis"&gt;GenomeAnalysis&lt;/a&gt;: Just over one week left to apply for our exciting job opportunities working in &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23Bioinformatics" title="#Bioinformatics" class=" "&gt;#Bioinformatics&lt;/a&gt;&lt;/em&gt;, &lt;a href="http://search.twitter.com/search?q=%23Genomics" title="#Genomics" class=" "&gt;#Genomics&lt;/a&gt; http://t.c ...</description><pubDate>Thu, 13 Sep 2012 10:29:26 +0000</pubDate><guid>http://twitter.com/Rawsthorne/statuses/246193867190308866</guid><author>Rawsthorne@twitter.com (Dee Rawsthorne)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/1292775855/Big_Bang_Excell_March_2011_66_normal.jpg"/><google:image_link>http://a0.twimg.com/profile_images/1292775855/Big_Bang_Excell_March_2011_66_normal.jpg</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>RT @GigaScience: Our take on #ECCB12 in GigaBlog, covering Wikis, Zombies and more: #Bioinformatics with a Swiss Flavor http://t.co/BdhiyWZ6</title><link>http://twitter.com/EvoMRI/statuses/246193834852245504</link><description>RT @&lt;a class=" " href="https://twitter.com/GigaScience"&gt;GigaScience&lt;/a&gt;: Our take on &lt;a href="http://search.twitter.com/search?q=%23ECCB12" title="#ECCB12" class=" "&gt;#ECCB12&lt;/a&gt; in GigaBlog, covering Wikis, Zombies and more: &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23Bioinformatics" title="#Bioinformatics" class=" "&gt;#Bioinformatics&lt;/a&gt;&lt;/em&gt; with a Swiss Flavor &lt;a href="http://t.co/BdhiyWZ6"&gt;http://t.co/BdhiyWZ6&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 10:29:18 +0000</pubDate><guid>http://twitter.com/EvoMRI/statuses/246193834852245504</guid><author>EvoMRI@twitter.com (Daniel Mietchen)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/1022748634/belemnite_2009-05-08_1424-green_normal.png"/><google:image_link>http://a0.twimg.com/profile_images/1022748634/belemnite_2009-05-08_1424-green_normal.png</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item><item><title>Top #tweeted story in #bioinformatics: Epigenetics emerges powerfully as a clinical tool http://t.co/ms0rW0z0, see more http://t.co/XBeSKW0t</title><link>http://twitter.com/rnomics/statuses/246191615276879872</link><description>Top &lt;a href="http://search.twitter.com/search?q=%23tweeted" title="#tweeted" class=" "&gt;#tweeted&lt;/a&gt; story in &lt;em&gt;&lt;a href="http://search.twitter.com/search?q=%23bioinformatics" title="#bioinformatics" class=" "&gt;#bioinformatics&lt;/a&gt;&lt;/em&gt;: Epigenetics emerges powerfully as a clinical tool &lt;a href="http://t.co/ms0rW0z0"&gt;http://t.co/ms0rW0z0&lt;/a&gt;, see more &lt;a href="http://t.co/XBeSKW0t"&gt;http://t.co/XBeSKW0t&lt;/a&gt;</description><pubDate>Thu, 13 Sep 2012 10:20:29 +0000</pubDate><guid>http://twitter.com/rnomics/statuses/246191615276879872</guid><author>rnomics@twitter.com (Fabrice Leclerc)</author><media:content type="image/jpg" height="48" width="48" url="http://a0.twimg.com/profile_images/1607343775/Imagen19_2x_normal.png"/><google:image_link>http://a0.twimg.com/profile_images/1607343775/Imagen19_2x_normal.png</google:image_link><twitter:metadata><twitter:result_type>recent</twitter:result_type></twitter:metadata></item></channel></rss>

site/_feeds/biostars.rss

+<?xml version="1.0" encoding="utf-8"?>
+<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Biostars.org latest</title><link>http://www.biostars.org/</link><description>Latest 25 posts from the Biostar server</description><atom:link href="http://www.biostars.org/feeds/latest/" rel="self"></atom:link><language>en-us</language><lastBuildDate>Thu, 13 Sep 2012 10:59:26 -0000</lastBuildDate><item><title>List of toxicity databases suitable for bioinformatics and chemoinformatics</title><link>http://www.biostars.org/post/show/52918/list-of-toxicity-databases-suitable-for-bioinformatics-and-chemoinformatics/</link><description>&lt;p&gt;Hi all,&lt;/p&gt;
+
+&lt;p&gt;as an aside in my research, I'm facing the need to incorporate &lt;strong&gt;structural information&lt;/strong&gt; of chemicals and their &lt;strong&gt;effects in humans&lt;/strong&gt; in a massive (comprehensive) fashion. My naive intuition was that, since this is (should be) a topic of broad interest, there would be a reference resource providing such information properly delineated.&lt;/p&gt;
+
+&lt;p&gt;To my surprise, there is no such a resource, at least none that I know of. I list below the ones that I've found the more close to my needs, and specify why, still, they are not handy for me.&lt;/p&gt;
+
+&lt;ul&gt;
+&lt;li&gt;Comparative Toxicogenomics Database: It provides a chemicals - disease file that is curated, with a considerable amount of relationships. For some reason, chemicals are &lt;a href="http://biostars.org/post/show/52798/"&gt;difficult to map&lt;/a&gt; to other chemoinformatics databases.&lt;/li&gt;
+&lt;li&gt;SIDER, OFFSIDES (from PharmGKB), etc: These databases are more easy to parse and, certainly, one can extract chemical information. However, these are restricted to drug molecules (a narrow space), and I'm rather more interested in more exhaustive lists.&lt;/li&gt;
+&lt;li&gt;ToxNet: Well... this is a website integrating different databases (environmental hazards, carcinogenic potency, ...). In my opinion, this is impractical to download (if possible) and parse.&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;p&gt;I know I'm missing stuff, but I think this short list is quite representative of what I've found around. Do you guys know a resource, or at least a publication, that might fit my needs? I need a database that includes as many chemicals as possible (not restricted to drug molecules) and their effects on humans.&lt;/p&gt;
+
+&lt;p&gt;Thanks a lot!&lt;/p&gt;
+
+&lt;p&gt;Miquel&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52918/list-of-toxicity-databases-suitable-for-bioinformatics-and-chemoinformatics/</guid></item><item><title>Error when running fastx (fastx_quality_stats)</title><link>http://www.biostars.org/post/show/52913/error-when-running-fastx-fastx_quality_stats/</link><description>&lt;p&gt;When running fastx, in particular fastx&lt;em&gt;quality&lt;/em&gt;stats, i am generating an error that says:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;fastx_quality_stats: failed to open input file 'small.rna.fastq': Value too large for defined data type
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;My input file is close to 10Gb.  I am running this locally on my desktop (4 GB RAM).  Is this a memory error?  I know I can run the fastx utilities on Galaxy.  I am just hoping to speed things up by doing things locally.&lt;/p&gt;
+
+&lt;p&gt;Any advice is greatly appreciated.&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52913/error-when-running-fastx-fastx_quality_stats/</guid></item><item><title>News: NHGRI meeting about human variation analysis live streaming today</title><link>http://www.biostars.org/post/show/52910/nhgri-meeting-about-human-variation-analysis-live-streaming-today/</link><description>&lt;p&gt;Daniel MacArthur, Chris Gunter, and a lot of other people you might know are at this NHGRI meeting that is live-streaming right now. They are discussing ways to proceed with human variation studies, improving database resources for this, and more. &lt;/p&gt;
+
+&lt;p&gt;Here's what Chris wrote on G+ describing it: https://plus.google.com/u/0/116548596839802435274/posts/3CzM4asXrwQ&lt;/p&gt;
+
+&lt;blockquote&gt;
+  &lt;p&gt;For serious genetics geeks:  the meeting organized by +Daniel
+  MacArthur and myself (with lots of help from colleagues!), Implicating
+  Sequence Variants in Human Disease, is streaming live here. On til 9
+  tonight and most of tomorrow during working day.&lt;/p&gt;
+&lt;/blockquote&gt;
+
+&lt;p&gt;Here is the live stream: &lt;a href="http://www.genome.gov/27549959"&gt;http://www.genome.gov/27549959&lt;/a&gt;&lt;/p&gt;
+
+&lt;p&gt;Apparently the recording will be available later too. &lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52910/nhgri-meeting-about-human-variation-analysis-live-streaming-today/</guid></item><item><title>Assess significant overlap in ChIP datasets</title><link>http://www.biostars.org/post/show/52898/assess-significant-overlap-in-chip-datasets/</link><description>&lt;p&gt;Hi,&lt;/p&gt;
+
+&lt;p&gt;I'm looking for &lt;strong&gt;methods and/or tools that can be used to assess overlap between ChIP&lt;/strong&gt; (ChIP-ChIP or ChIP-Seq) &lt;strong&gt;datasets&lt;/strong&gt;.&lt;/p&gt;
+
+&lt;p&gt;Being a drosophilist I have access to several ChIP datasets at modENCODE and BDTNP and I'd like to know if some of these transcription factor binding profiles show a significant overlap with the one I produced for my transcription factor of interest. The idea is to make hypotheses about possible cofactors.&lt;/p&gt;
+
+&lt;p&gt;Bonus points if the tools also help in the visualisation of the overlap and significance and if they're R or Bioconductor-related.&lt;/p&gt;
+
+&lt;p&gt;What are your suggestions Biostar?&lt;/p&gt;
+
+&lt;p&gt;Thanks a lot,&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52898/assess-significant-overlap-in-chip-datasets/</guid></item><item><title>Converting taxonomic lineages into a common tree</title><link>http://www.biostars.org/post/show/52895/converting-taxonomic-lineages-into-a-common-tree/</link><description>&lt;p&gt;I have a number of lineages like this:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;Bacteria;Chlamydiae;Chlamydiae;Chlamydiales;Chlamydiaceae;Chlamydophila;
+Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;
+Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;
+... (the list continues)
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;Is there any tool capable of converting these lineages into common tree in Nexus or Newick format? &lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52895/converting-taxonomic-lineages-into-a-common-tree/</guid></item><item><title>Is it possible that uniquely mapped read was mapped to the wrong place?</title><link>http://www.biostars.org/post/show/52883/is-it-possible-that-uniquely-mapped-read-was-mapped-to-the-wrong-place/</link><description>&lt;p&gt;Is it possible that uniquely mapped read was mapped to the wrong place? How is it possible then given that all base in the read have high quality score?&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52883/is-it-possible-that-uniquely-mapped-read-was-mapped-to-the-wrong-place/</guid></item><item><title>RNA-seq data in public database</title><link>http://www.biostars.org/post/show/52866/rna-seq-data-in-public-database/</link><description>&lt;p&gt;I just want to ask if there is a database like GEO storing microarray data, that stores RNA-seq data and is public.&lt;/p&gt;
+
+&lt;p&gt;I know SRA, but the source is not enough. Any other better one? I want to search for some special cell lines that have been sequenced by RNA-seq. Where I can find them?  Thanks!!!&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52866/rna-seq-data-in-public-database/</guid></item><item><title>Job: Bioinformatics positions at Personalis, Menlo Park (San Francisco), Ca</title><link>http://www.biostars.org/post/show/52862/bioinformatics-positions-at-personalis-menlo-park-san-francisco-ca/</link><description>&lt;p&gt;&lt;a href="http://www.personalis.com/index.html"&gt;Personalis&lt;/a&gt; is currently advertising and recruiting for &lt;a href="http://www.personalis.com/careers.html"&gt;several Bioinformatics positions&lt;/a&gt;:&lt;/p&gt;
+
+&lt;ul&gt;
+&lt;li&gt;Computational Biologist, Platform - Develop and implement bioinformatics algorithms and deliver automated pipelines for data analysis and reporting.&lt;/li&gt;
+&lt;li&gt;Bioinformatics Scientist, Applications - Design and develop innovative methods and tools to interpret human genome sequences, and predict and evaluate the genetic risk of disease and drug response.&lt;/li&gt;
+&lt;li&gt;Senior Computational Biologist, Applications - Develop and test integrative data analysis tools, data visualization methods, and statistical analysis methods to support genome analysis. &lt;/li&gt;
+&lt;/ul&gt;
+</description><guid>http://www.biostars.org/post/show/52862/bioinformatics-positions-at-personalis-menlo-park-san-francisco-ca/</guid></item><item><title>Bug: longer pairwise sequence alignment in R</title><link>http://www.biostars.org/post/show/52858/bug-longer-pairwise-sequence-alignment-in-r/</link><description>&lt;p&gt;I am trying to scan for possible SNPs and indels by aligning scaffolds to subsequences from a reference genome. (the raw reads are not available). I am using R/bioconductor and the pairwiseAlignment function from the Biostrings package. This was working fine for smaller scaffolds, but failed when I tried to align as 56kbp scaffold with the error message:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;Error in QualityScaledXStringSet.pairwiseAlignment(pattern = pattern, : cannot allocate memory block of size 17179869183.7 Gb
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;This is appearing to be almost certainly a bug--people on stack overflow are saying it is likely some sort of 64-bit integer-overflow. (something I am not really familiar with).&lt;/p&gt;
+
+&lt;p&gt;Does anybody have suggestions for a way around this bug or a better alignment algorithm to use for aligning longer sequences? 
+An initial alignment was already done using BLAST to find the region of the reference genome to align. I am not entirely confident BLAST's reliability for correctly placing indels and I have not yet been able to find an api as good as that provided by biostrings for parsing the raw BLAST alignments.&lt;/p&gt;
+
+&lt;p&gt;Here is a code snippet that replicates the problem:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;library("Biostrings")
+
+scaffold_set = read.DNAStringSet(scaffold_file_name) #scaffold_set is a DNAStringSet instance
+scafseq = scaffold_set[[scaffold_name]] #scaf_seq is a "DNAString" instance
+
+genome = read.DNAStringSet(genome_file_name)[[1]] #genome is a "DNAString" instance
+
+#qstart, qend, substart, subend are all from intial BLAST alignment step
+scaf_sub = subseq(scafseq, start=qstart, end=qend) #56170-letter "DNAString" instance
+genomic_sub = subseq(genome, start=substart, end=subend) #56168-letter "DNAString" instance
+
+curalign = pairwiseAlignment(pattern = scaf_sub, subject = genomic_sub)
+#that last line gives the error: 
+#Error in .Call2("XStringSet_align_pairwiseAlignment", pattern, subject,  : 
+#cannot allocate memory block of size 17179869182.9 Gb
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;And here is my sessioninfo() from R if anybody is interested:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;&amp;gt; sessionInfo()
+R version 2.15.1 (2012-06-22)
+Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
+
+locale:
+[1] C/en_US.UTF-8/C/C/C/C
+
+attached base packages:
+[1] stats     graphics  grDevices utils     datasets  methods   base     
+
+other attached packages:
+[1] RPostgreSQL_0.3-2   DBI_0.2-5           Biostrings_2.24.1   IRanges_1.14.4      BiocInstaller_1.4.7 Biobase_2.16.0     
+[7] BiocGenerics_0.2.0 
+
+loaded via a namespace (and not attached):
+[1] stats4_2.15.1 tcltk_2.15.1  tools_2.15.1
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;I appreciate your help.&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52858/bug-longer-pairwise-sequence-alignment-in-r/</guid></item><item><title>How does ENCODE data change design of NGS experiments?</title><link>http://www.biostars.org/post/show/52855/how-does-encode-data-change-design-of-ngs-experiments/</link><description>&lt;p&gt;Now that we've had a week or so to digest the ENCODE publications (&lt;a href="http://blog.openhelix.eu/?p=13613"&gt;nice summary here&lt;/a&gt;), this is a question for those groups engaged in next-gen sequencing projects for gene discovery in human disorders. Most of you have probably focused on whole exome.&lt;/p&gt;
+
+&lt;p&gt;What elements of the ENCODE data set are ready or near-ready to include in future experiments that capture the "exome-plus"? Are groups designing targets for some of these regions for capture? Which ones? Enhancers? Promotors? Other long-range functional elements? Or do you suspect it's more efficient to just target the whole genome, so that data can be re-analyzed as functional annotations of the non-coding regions continue to improve?  Interested in your responses.&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52855/how-does-encode-data-change-design-of-ngs-experiments/</guid></item><item><title>B/Sam to Fasta in R</title><link>http://www.biostars.org/post/show/52854/bsam-to-fasta-in-r/</link><description>&lt;p&gt;I'm looking for a way in Bioconductor to convert a bam file to a filtered fasta file. &lt;/p&gt;
+
+&lt;p&gt;Currently, I've come across two methods to read bam files in R:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;CDS1 &amp;lt;- readGappedAlignments("aln.bam")
+CDS2 &amp;lt;- scanBam("aln.bam")
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;I like using the first method as I can seamlessly utilize the *ranges packages. Is there a way to retrieve sequence data from a &lt;code&gt;readGappedAlignments&lt;/code&gt; object? If not, what is the preferred method to construct a data.frame with:
+"&lt;code&gt;rname&lt;/code&gt;", "&lt;code&gt;strand&lt;/code&gt;", "&lt;code&gt;start&lt;/code&gt;", "&lt;code&gt;stop&lt;/code&gt;", "&lt;code&gt;width&lt;/code&gt;", "&lt;code&gt;sequence&lt;/code&gt;" from a bam file inside of R?&lt;/p&gt;
+
+&lt;p&gt;Thanks!&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52854/bsam-to-fasta-in-r/</guid></item><item><title>How can I Bulk retrieve refseq fasta files based on organism name using EUtilities?</title><link>http://www.biostars.org/post/show/52852/how-can-i-bulk-retrieve-refseq-fasta-files-based-on-organism-name-using-eutilities/</link><description>&lt;p&gt;I want to be able to retrieve all refseq fasta sequences for a list of organisms.  I am using the code below from the EUtilities cookbook which works for a single organism name.&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;use Bio::Perl;
+use Bio::DB::EUtilities;
+use Bio::DB::RefSeq;
+
+# set optional history queue
+my $factory = Bio::DB::EUtilities-&amp;gt;new(-eutil      =&amp;gt; 'esearch',
+                                       -email      =&amp;gt; 'me@foo.com',
+                                       -db         =&amp;gt; 'nuccore',
+                                       -term       =&amp;gt; 'Prevotella[ORGN] AND srcdb_refseq[PROP]',
+                                       -usehistory =&amp;gt; 'y');
+
+my $count = $factory-&amp;gt;get_count;
+# get history from queue
+my $hist  = $factory-&amp;gt;next_History || die 'No history data returned';
+print "History returned\n";
+# note db carries over from above
+$factory-&amp;gt;set_parameters(-eutil   =&amp;gt; 'efetch',
+                         -rettype =&amp;gt; 'fasta',
+                         -history =&amp;gt; $hist);
+
+my $retry = 0;
+my ($retmax, $retstart) = (500,0);
+
+open (my $out, '&amp;gt;', 'test_list_seqs.fa') || die "Can't open file:$!";
+
+RETRIEVE_SEQS:
+while ($retstart &amp;lt; $count) {
+    $factory-&amp;gt;set_parameters(-retmax   =&amp;gt; $retmax,
+                             -retstart =&amp;gt; $retstart);
+    eval{
+        $factory-&amp;gt;get_Response(-cb =&amp;gt; sub {my ($data) = @_; print $out $data} );
+    };
+    if ($@) {
+        die "Server error: $@.  Try again later" if $retry == 5;
+        print STDERR "Server error, redo #$retry\n";
+        $retry++ &amp;amp;&amp;amp; redo RETRIEVE_SEQS;
+    }
+    print "Retrieved $retstart";
+    $retstart += $retmax;
+}
+close $out;
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;`  I have attempted to read an organism name list from a file and retrieve sequences that way but that is giving me what I think may be the entire genbank fasta sequences from any database and any organism.  Has anyone done a bulk retrieval before?  Here is my attempt to get sequences from an organism name file.:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt; #!/usr/bin/perl
+use strict;
+use warnings;
+use Bio::Perl;
+use Bio::DB::EUtilities;
+use Bio::DB::RefSeq;
+
+open(INFILE,"&amp;lt;C:/Users/workspace/general/test_organism_name.txt") or die "Cannot open infile: $!";
+
+while(&amp;lt;INFILE&amp;gt;){
+    chomp;
+    my $name = $_;
+                 my $term = '"$name",[ORGN] AND srcdb_refseq[PROP]';
+
+# set optional history queue
+my $factory = Bio::DB::EUtilities-&amp;gt;new(-eutil      =&amp;gt; 'esearch',
+                                       -email      =&amp;gt; 'me@foo.com',
+                                       -db         =&amp;gt; 'nuccore',
+                                       -term   =&amp;gt;  '$term',
+                                       -usehistory =&amp;gt; 'y');
+
+my $count = $factory-&amp;gt;get_count;
+# get history from queue
+my $hist  = $factory-&amp;gt;next_History || die 'No history data returned';
+print "History returned\n";
+# note db carries over from above
+$factory-&amp;gt;set_parameters(-eutil   =&amp;gt; 'efetch',
+                         -rettype =&amp;gt; 'fasta',
+                         -history =&amp;gt; $hist);
+
+my $retry = 0;
+my ($retmax, $retstart) = (500,0);
+
+open (my $out, '&amp;gt;', 'test_list_seqs.fa') || die "Can't open file:$!";
+
+RETRIEVE_SEQS:
+while ($retstart &amp;lt; $count) {
+    $factory-&amp;gt;set_parameters(-retmax   =&amp;gt; $retmax,
+                             -retstart =&amp;gt; $retstart);
+    eval{
+        $factory-&amp;gt;get_Response(-cb =&amp;gt; sub {my ($data) = @_; print $out $data} );
+    };
+    if ($@) {
+        die "Server error: $@.  Try again later" if $retry == 5;
+        print STDERR "Server error, redo #$retry\n";
+        $retry++ &amp;amp;&amp;amp; redo RETRIEVE_SEQS;
+    }
+    print "Retrieved $retstart";
+    $retstart += $retmax;
+}
+close $out;
+}
+close INFILE;
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;Thanks!&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52852/how-can-i-bulk-retrieve-refseq-fasta-files-based-on-organism-name-using-eutilities/</guid></item><item><title>Constructing Enzyme network</title><link>http://www.biostars.org/post/show/52851/constructing-enzyme-network/</link><description>&lt;p&gt;I wish to construct an Enzyme network, where two enzymes would share an edge, if the product(small molecule) of one enzyme is used as a reactant for the other enzyme.&lt;/p&gt;
+
+&lt;p&gt;I've a couple of hundreds of such enzymes for an organism, and I know their EC numbers. Can somebody provide a brief guidance about where to start from? Can the API of  KEGG be used? If so, can one cite a small example?&lt;/p&gt;
+
+&lt;p&gt;Thanks in advance&lt;/p&gt;
+
+&lt;p&gt;WoA&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52851/constructing-enzyme-network/</guid></item><item><title>cufflinks and cuffdiff FPKM values in galaxy</title><link>http://www.biostars.org/post/show/52847/cufflinks-and-cuffdiff-fpkm-values-in-galaxy/</link><description>&lt;p&gt;Hello everyone,&lt;/p&gt;
+
+&lt;p&gt;I am comparing two samples (control and treated) paired end RNA Seq data on galaxy. I am getting different FPKM values on my cufflinks output of 2 samples when compared to the 2 values that cuffdiff..&lt;/p&gt;
+
+&lt;p&gt;Below is the snap shot of a gene with different FPKM values. (I am not displaying the gene name).&lt;/p&gt;
+
+&lt;p&gt;Cufflinks output:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;Gene    length  coverage    FPKM    FPKM_conf_lo    FPKM_conf_hi    FPKM_status     Sample
+xyz     -   -   39.9094     38.9553     40.8635     OK  Control
+xyz     -   -   19.4664     18.7786     20.1542     OK  Treated
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;cuffdiff output:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;Gene    sample_1    sample_2    status  value_1/Control     value_2/ treated    log2(fold_change)   test_stat   p_value     q_value     significant
+xyz     q1  q2  OK  59.6706     27.1551     -1.1358     5.06151     4.16E-07    4.00E-05    yes
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;I am assuming that FPKM values from cufflinks and cuffdiff output should be matching. Any kind of suggestions are appreciated.&lt;/p&gt;
+
+&lt;p&gt;Thanks &lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52847/cufflinks-and-cuffdiff-fpkm-values-in-galaxy/</guid></item><item><title>Make Paired file task-Scripture</title><link>http://www.biostars.org/post/show/52841/make-paired-file-task-scripture/</link><description>&lt;p&gt;Hello,
+I am trying to prepare the input file for &lt;a href="http://www.broadinstitute.org/software/scripture/"&gt;Scripture&lt;/a&gt; and have stumbled upon the fact that I need to have the TopHat alignment output split into right and left reads.
+Can somebody tell me how to do this? I obviously had a bam file,containing both right and left reads.
+Thanks,
+G.&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52841/make-paired-file-task-scripture/</guid></item><item><title>nominal length and tophat inner mate distance</title><link>http://www.biostars.org/post/show/52836/nominal-length-and-tophat-inner-mate-distance/</link><description>&lt;p&gt;Hi,
+I wanted to know whether I can use the nominal length provided in EBI website as the tophat inner mate distance or not?like the one here:
+&lt;a href="http://www.ebi.ac.uk/ena/data/view/ERX002692&amp;amp;display=xml"&gt;http://www.ebi.ac.uk/ena/data/view/ERX002692&amp;amp;display=xml&lt;/a&gt;&lt;/p&gt;
+
+&lt;p&gt;Ofcourse I searched for my question and I found something similar here:
+&lt;a href="http://www.biostars.org/post/show/12720/"&gt;http://www.biostars.org/post/show/12720/&lt;/a&gt;&lt;/p&gt;
+
+&lt;p&gt;But the answers are seems to be in contradiction with each other. Any new idea?
+Thank you&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52836/nominal-length-and-tophat-inner-mate-distance/</guid></item><item><title>codeml to study selection pressure</title><link>http://www.biostars.org/post/show/52833/codeml-to-study-selection-pressure/</link><description>&lt;p&gt;Hi All,&lt;/p&gt;
+
+&lt;p&gt;Just few quick questions about Codeml. &lt;/p&gt;
+
+&lt;p&gt;Can we study lineage-specific selection only on sequences that are single copy orthologs (or in simple words just have 1-1 relations). What should I do in case of multigene families? Does codeml works well in case of multi gene families? Do I have to extract 1-1 relations from these families and then input to codeml or the whole family can go as input?&lt;/p&gt;
+
+&lt;p&gt;Thanks,
+RT&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52833/codeml-to-study-selection-pressure/</guid></item><item><title>Job: Post-Doctoral - genomic research program on cardio-respiratory diseases - Quebec City</title><link>http://www.biostars.org/post/show/52828/post-doctoral-genomic-research-program-on-cardio-respiratory-diseases-quebec-city/</link><description>&lt;p&gt;The Centre de recherche de l’Institut universitaire de cardiologie et de pneumologie de Québec (CRIUCPQ)
+ is an academic research institute affiliated with Laval University located in Québec City, Canada. It is
+ physically connected to one of the leading hospital treating patients with cardiovascular and respiratory
+ diseases in Canada. CRIUCPQ includes 116 researchers carrying out world class clinical and basic
+ research in three major themes: cardiovascular, respiratory and obesity. Together these scientists
+ coordinate the activities of nearly 250 scientific staff members and 170 graduate students.&lt;/p&gt;
+
+&lt;p&gt;The Post-Doctoral Fellow position is in the laboratory of Dr. Yohan Bossé, Principal Investigator of a
+ genomic research program on cardio-respiratory diseases. This program focuses on two main themes: 1)
+ genetics of aortic valve diseases, and 2) genomics of respiratory diseases including smoking-related lung
+ diseases (i.e. lung cancer and COPD) and asthma. A number of genomic approaches are utilized including
+ whole-genome genotyping in case-control series of patients and gene expression profiling in healthy and
+ diseased tissues. The research activities are funded by the Canadian Institutes of Health Research, Heart
+ and Stroke Foundation, Cancer Research Society, Canadian Gene Cure Foundation, J.D. Bégin
+ Foundation, and “Fondation de l’IUCPQ”. Unique resources are in place to study the molecular basis of both
+ heart and lung diseases including large sample sizes of well-characterized patients and a world-class
+ biobank infrastructure.&lt;/p&gt;
+
+&lt;p&gt;The nature of the work is to analyze large-scale genomic datasets with the clinical characteristics of
+ patients, write scientific manuscripts, and present the results at national and international meetings. The
+Post-Doctoral Fellow is expected to contribute to the overall program goals, which are to improve our
+molecular understanding of heart and lung diseases and translate genomic knowledge into new marketable
+ applications or products that respond to urgent medical needs. The individual may also be required to
+ supervise junior lab members.&lt;/p&gt;
+
+&lt;p&gt;Applicants for this position should possess a Ph.D. or M.D. degree. A background in bioinformatics and
+statistical genetics is preferred. The ideal candidate will have experience in molecular genetics, genome-
+wide gene expression and genotyping arrays, and database skills. A decent publication record with first
+ author manuscripts is needed.&lt;/p&gt;
+
+&lt;p&gt;This is a full-time two year position. The stipend is set equivalent to a CIHR Fellowship research award (i.e.
+ $40,000 per annum). Review of applications will begin October 1, 2012, and continue until the position is
+ filled.&lt;/p&gt;
+
+&lt;p&gt;&lt;strong&gt;Interested individuals should send a brief motivation letter and CV to:&lt;/strong&gt;&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;Yohan Bossé, Ph.D.
+Assistant Professor, Department of Molecular Medicine, Laval University
+Institut universitaire de cardiologie et de pneumologie de Québec
+Pavillon Marguerite-d'Youville, Y4190
+2725, chemin Sainte-Foy, Québec (Québec), Canada, G1V 4G5
+yohan.bosse@criucpq.ulaval.ca
+&lt;/code&gt;&lt;/pre&gt;
+</description><guid>http://www.biostars.org/post/show/52828/post-doctoral-genomic-research-program-on-cardio-respiratory-diseases-quebec-city/</guid></item><item><title>Position of genes in centiMorgans?</title><link>http://www.biostars.org/post/show/52820/position-of-genes-in-centimorgans/</link><description>&lt;p&gt;Is there a resource that gives the position of genes in the human genome in centiMorgans?&lt;/p&gt;
+
+&lt;p&gt;Thanks,
+D.&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52820/position-of-genes-in-centimorgans/</guid></item><item><title>Get chemical structures from data in Comparative Toxicogenomics Database (CTD)</title><link>http://www.biostars.org/post/show/52798/get-chemical-structures-from-data-in-comparative-toxicogenomics-database-ctd/</link><description>&lt;p&gt;The Comparative Toxicogenomics Database (CTD) has curated information on chemicals and its effects on human body. I'm very interested in the actual chemical structure of these chemicals, but unfortunately this is not provided by CTD.&lt;/p&gt;
+
+&lt;p&gt;Instead, for &lt;strong&gt;some&lt;/strong&gt; of the chemicals they provide the CAS registry number, but the primary ID is the MeSH ID. For  10,10'-dimethyl-9,9'-biacridinium, for instance, they thus provide MESH:C033472 and CAS 2315-97-1, while for other chemicals they only give the MeSH number.&lt;/p&gt;
+
+&lt;p&gt;I need to retrieve the chemical structures (SMILES notation is fine) from CTD programmatically, preferably from the MeSH ID. How would you guys approach this?&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52798/get-chemical-structures-from-data-in-comparative-toxicogenomics-database-ctd/</guid></item><item><title>Obtaining a maximum number of blast hits: problem...</title><link>http://www.biostars.org/post/show/52787/obtaining-a-maximum-number-of-blast-hits-problem/</link><description>&lt;p&gt;I am having trouble getting blast to give me "correct" results.
+I am trying to retrieve as many hits with e-value better than 1. I query the database with a sequence that should have several thousand hits in the database. However, at best, using tblastn, I get more or less 1000 matches (~250 independent hits). I am at a loss understanding what is wrong with my command:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;tblastn -query protein.fasta -db nucl.blastdb -out results.tblastnout -evalue 1 -outfmt 7 -num_descriptions 100000
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;I get several matches within one same sequence hit, all with e-values better than 1. But what confuses me is that the best e-value of the worst hit (sorry if this is confusing ;) is nowhere near the -evalue limit, and is usually lower than 1E-60... Obviously, even including the redundancy of matches within a hit, I certainly do not reach the 100000 limit I asked for.&lt;/p&gt;
+
+&lt;p&gt;So I have three questions:&lt;/p&gt;
+
+&lt;ol&gt;
+&lt;li&gt;Is it possible to only list one (the best) "match" per "hit"?&lt;/li&gt;
+&lt;li&gt;Any idea why I do not get a larger number of descriptions, considering that I expect to have close to 30000 positives in my database?&lt;/li&gt;
+&lt;li&gt;Any comments/suggestions to improve my search?&lt;/li&gt;
+&lt;/ol&gt;
+
+&lt;p&gt;EDIT:&lt;/p&gt;
+
+&lt;p&gt;After investigation and testing (a bit)...&lt;/p&gt;
+
+&lt;p&gt;For question 1)&lt;/p&gt;
+
+&lt;p&gt;In order to limit the number of matches (HSPs) in a sequence hit, I tried the "Best-Hits filtering algorithm". As a result, this brought my newly found 50000 hits (with -max_target_seqs) down to 253. In reality however, it increased the number of positive hits by 2. So I'm guessing that the number of "hits" listed in the header of the output is only the number of HSPs.
+In any case, this seems to help with the multiple hit per target sequence. But is it the full answer? Or are there other ways?&lt;/p&gt;
+
+&lt;p&gt;For question 2)&lt;/p&gt;
+
+&lt;p&gt;With the argument "-num_descriptions", changing the value doesn't really change the result. It turns out that with tabular formatting, one should use the argument "-max_target_seqs" instead of the previous one (see &lt;a href="http://www.ncbi.nlm.nih.gov/books/NBK1763/#CmdLineAppsManual.Appendix_C_Options_for"&gt;latest BLAST user manual&lt;/a&gt;). As a result, I get an interestingly different output: the number of "hits" announced in the output header dramatically increases, in this case to &amp;gt;50000. This is the result that I'd expect... However, the actual list of results is exactly the same as with "-num_descriptions" :(&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52787/obtaining-a-maximum-number-of-blast-hits-problem/</guid></item><item><title>nucleotide diversity (pi ) test</title><link>http://www.biostars.org/post/show/52778/nucleotide-diversity-pi-test/</link><description>&lt;p&gt;Hi all,
+how do I identify significant artificial selection for regions on genomes based on nucleotide diversity?&lt;/p&gt;
+
+&lt;p&gt;I know Tajima's D could do this and I have tried, but I still want to know how is possible to do this by nucleotide diversity test.&lt;/p&gt;
+
+&lt;p&gt;Thanks&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52778/nucleotide-diversity-pi-test/</guid></item><item><title>Unix oneliner or script to extract a certain fasta contig from a NGS file</title><link>http://www.biostars.org/post/show/52774/unix-oneliner-or-script-to-extract-a-certain-fasta-contig-from-a-ngs-file/</link><description>&lt;p&gt;How can we extract a certain particular contig from a multifasta assembly file that has thousands of such contigs?&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52774/unix-oneliner-or-script-to-extract-a-certain-fasta-contig-from-a-ngs-file/</guid></item><item><title>Mapping in colorspace</title><link>http://www.biostars.org/post/show/52768/mapping-in-colorspace/</link><description>&lt;p&gt;I tried mapping my data both in letter and color space and the results look markedly different.&lt;/p&gt;
+
+&lt;p&gt;Multimapping is much more pronounced in the color space mode.&lt;/p&gt;
+
+&lt;p&gt;Does anybody know why this is happening?&lt;/p&gt;
+
+&lt;p&gt;(Bowtie and Shrimp were used for mapping)&lt;/p&gt;
+
+&lt;p&gt;Tnx!&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52768/mapping-in-colorspace/</guid></item><item><title>Mac OS users: script paths and aliases in .bash_profile or .bashrc or both?</title><link>http://www.biostars.org/post/show/52765/mac-os-users-script-paths-and-aliases-in-bash_profile-or-bashrc-or-both/</link><description>&lt;p&gt;Excuse me if this is a stupid question, but I was searching through the archives and couldn’t find it discussed previously.  I was going through a couple of previous posts: (&lt;a href="http://www.biostars.org/post/show/45456/what-are-the-bioinformatics-related-aliases-or-functions-in-your-bashrc/"&gt;here&lt;/a&gt; and &lt;a href="http://www.biostars.org/post/show/6660/bioinformatics-cheat-sheet/"&gt;here&lt;/a&gt;) on people’s preferred aliases and adding some of these useful aliases to my .bash_profile.&lt;/p&gt;
+
+&lt;p&gt;Let me preface this by saying I use Mac OS X.  When adding these aliases, I realized I’ve previously put aliases in both my .bash_profile and my .bashrc file on my computer, but there wasn’t really any rhyme or reason to the file I used at the time.  &lt;/p&gt;
+
+&lt;p&gt;I call upon my .bashrc file with:&lt;/p&gt;
+
+&lt;pre&gt;&lt;code&gt;if 
+    [ -f ~/.bashrc ]; 
+then
+    source ~/.bashrc fi
+&lt;/code&gt;&lt;/pre&gt;
+
+&lt;p&gt;from within my .bash-profile file.  &lt;/p&gt;
+
+&lt;p&gt;I know (essentially) the difference between the .bash_profile and .bashrc files on a Mac, but I think I will put all my aliases in my .bashrc file, mainly so I can transfer it to remote computers (all unix based) instead of modifying each .bashrc file for each computer I login to?  &lt;/p&gt;
+
+&lt;p&gt;In other words, for Mac users, what do you have in your .bash&lt;em&gt;profile and your .bashrc files?  I have my PATHs in my .bash&lt;/em&gt;profile and aliases in my .bashrc, should I put aliases in both or is this just a waste of my time and processing speed?  How do you have these files organized so you call your scripts up in the most efficient way?  Efficient in terms of your organizational sanity and also computational speed?  Does computational speed even matter in this context?  ...or do I even need the .bashrc file on my Mac?   &lt;/p&gt;
+
+&lt;p&gt;Thanks so much for your input in advance!&lt;/p&gt;
+</description><guid>http://www.biostars.org/post/show/52765/mac-os-users-script-paths-and-aliases-in-bash_profile-or-bashrc-or-both/</guid></item></channel></rss>

site/_feeds/seantwitter.rss

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+    <title>Twitter / seandavis12</title>
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+    <atom:link type="application/rss+xml" rel="self" href="http://api.twitter.com/1/statuses/user_timeline.rss?screen_name=seandavis12"/>
+    <description>Twitter updates from Sean Davis / seandavis12.</description>
+    <language>en-us</language>
+    <ttl>40</ttl>
+  <item>
+    <title>seandavis12: #diigo: Linux Commands - A practical reference http://t.co/tZ9JqvoV A linux command line reference for common operations.</title>
+    <description>seandavis12: #diigo: Linux Commands - A practical reference http://t.co/tZ9JqvoV A linux command line reference for common operations.</description>
+    <pubDate>Thu, 13 Sep 2012 15:49:18 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/246274364260089856</guid>
+    <link>http://twitter.com/seandavis12/statuses/246274364260089856</link>
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+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: I'm in.... &#8220;@M_NicoleNazzaro: Today, instead of that extra coffee break, I'll go for a 30 min run. Who's with me? #30minuteseveryday&#8221;</title>
+    <description>seandavis12: I'm in.... &#8220;@M_NicoleNazzaro: Today, instead of that extra coffee break, I'll go for a 30 min run. Who's with me? #30minuteseveryday&#8221;</description>
+    <pubDate>Wed, 12 Sep 2012 15:05:41 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245900999045287936</guid>
+    <link>http://twitter.com/seandavis12/statuses/245900999045287936</link>
+    <twitter:source>&lt;a href=&quot;http://itunes.apple.com/us/app/twitter/id409789998?mt=12&quot; rel=&quot;nofollow&quot;&gt;Twitter for Mac&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] Read Mapping/Alignment Presentation http://t.co/WqJHWPln</title>
+    <description>seandavis12: [Delicious] Read Mapping/Alignment Presentation http://t.co/WqJHWPln</description>
+    <pubDate>Wed, 12 Sep 2012 12:50:17 +0000</pubDate>
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+    <link>http://twitter.com/seandavis12/statuses/245866925576568832</link>
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+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: #diigo: Read Mapping/Alignment Presentation http://t.co/lVmYtZuZ Presentation on ngs alignment algorithms bowtie, bowtie2, bwa, stampy.</title>
+    <description>seandavis12: #diigo: Read Mapping/Alignment Presentation http://t.co/lVmYtZuZ Presentation on ngs alignment algorithms bowtie, bowtie2, bwa, stampy.</description>
+    <pubDate>Wed, 12 Sep 2012 10:36:13 +0000</pubDate>
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+    <link>http://twitter.com/seandavis12/statuses/245833186016387072</link>
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+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: New to #bioconductor http://t.co/ONCeEwys methyAnalysis DNA methylation data analysis and&#8230;</title>
+    <description>seandavis12: New to #bioconductor http://t.co/ONCeEwys methyAnalysis DNA methylation data analysis and&#8230;</description>
+    <pubDate>Tue, 11 Sep 2012 18:35:19 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245591366573363200</guid>
+    <link>http://twitter.com/seandavis12/statuses/245591366573363200</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: New to #bioconductor http://t.co/dlYNeuqC fmcsR Flexible Maximum Common Substructure (FMCS) Searching&#8230;</title>
+    <description>seandavis12: New to #bioconductor http://t.co/dlYNeuqC fmcsR Flexible Maximum Common Substructure (FMCS) Searching&#8230;</description>
+    <pubDate>Tue, 11 Sep 2012 18:35:17 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245591357064892416</guid>
+    <link>http://twitter.com/seandavis12/statuses/245591357064892416</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: New to #bioconductor http://t.co/sYK5WU5g EasyqpcR EasyqpcR for low-throughput real-time&#8230;</title>
+    <description>seandavis12: New to #bioconductor http://t.co/sYK5WU5g EasyqpcR EasyqpcR for low-throughput real-time&#8230;</description>
+    <pubDate>Tue, 11 Sep 2012 18:35:00 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245591286889992192</guid>
+    <link>http://twitter.com/seandavis12/statuses/245591286889992192</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: New to #bioconductor http://t.co/wGejitC2 CNORfuzzy Addon to CellNOptR: Fuzzy Logic: This package&#8230;</title>
+    <description>seandavis12: New to #bioconductor http://t.co/wGejitC2 CNORfuzzy Addon to CellNOptR: Fuzzy Logic: This package&#8230;</description>
+    <pubDate>Tue, 11 Sep 2012 18:34:55 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245591265658425344</guid>
+    <link>http://twitter.com/seandavis12/statuses/245591265658425344</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] Bash Redirection Cheat Sheet http://t.co/cZphZrde</title>
+    <description>seandavis12: [Delicious] Bash Redirection Cheat Sheet http://t.co/cZphZrde</description>
+    <pubDate>Tue, 11 Sep 2012 15:44:14 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245548312890077184</guid>
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+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: #diigo: Bash Redirection Cheat Sheet http://t.co/mXp34RTV The bash redirection cheat sheet</title>
+    <description>seandavis12: #diigo: Bash Redirection Cheat Sheet http://t.co/mXp34RTV The bash redirection cheat sheet</description>
+    <pubDate>Tue, 11 Sep 2012 15:16:14 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245541266555797506</guid>
+    <link>http://twitter.com/seandavis12/statuses/245541266555797506</link>
+    <twitter:source>&lt;a href=&quot;http://ifttt.com&quot; rel=&quot;nofollow&quot;&gt;IFTTT&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] iRefIndex http://t.co/cA24TxyU</title>
+    <description>seandavis12: [Delicious] iRefIndex http://t.co/cA24TxyU</description>
+    <pubDate>Tue, 11 Sep 2012 11:34:32 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245485471893966849</guid>
+    <link>http://twitter.com/seandavis12/statuses/245485471893966849</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: #diigo: iRefIndex http://t.co/TbT5qKZQ iRefIndex provides an index of protein interactions available in a number of primary interaction d...</title>
+    <description>seandavis12: #diigo: iRefIndex http://t.co/TbT5qKZQ iRefIndex provides an index of protein interactions available in a number of primary interaction d...</description>
+    <pubDate>Tue, 11 Sep 2012 10:19:07 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245466492492185600</guid>
+    <link>http://twitter.com/seandavis12/statuses/245466492492185600</link>
+    <twitter:source>&lt;a href=&quot;http://ifttt.com&quot; rel=&quot;nofollow&quot;&gt;IFTTT&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: RT @Bioconductor: Deadline for new @Bioconductor package submissions is Sept 12! https://t.co/HfGkoxUJ</title>
+    <description>seandavis12: RT @Bioconductor: Deadline for new @Bioconductor package submissions is Sept 12! https://t.co/HfGkoxUJ</description>
+    <pubDate>Mon, 10 Sep 2012 22:26:50 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245287243223285760</guid>
+    <link>http://twitter.com/seandavis12/statuses/245287243223285760</link>
+    <twitter:source>web</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] http://t.co/U8r0UKao&#8230; http://t.co/zx5k5ldw</title>
+    <description>seandavis12: [Delicious] http://t.co/U8r0UKao&#8230; http://t.co/zx5k5ldw</description>
+    <pubDate>Mon, 10 Sep 2012 14:39:52 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245169727301902336</guid>
+    <link>http://twitter.com/seandavis12/statuses/245169727301902336</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] Visualizing large graphs: graph visualization of matrices from the University of&#8230; http://t.co/PtN4pkfN</title>
+    <description>seandavis12: [Delicious] Visualizing large graphs: graph visualization of matrices from the University of&#8230; http://t.co/PtN4pkfN</description>
+    <pubDate>Mon, 10 Sep 2012 14:39:52 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245169725779357697</guid>
+    <link>http://twitter.com/seandavis12/statuses/245169725779357697</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: #diigo: http://t.co/Jj2Fp0A5 http://t.co/Jj2Fp0A5</title>
+    <description>seandavis12: #diigo: http://t.co/Jj2Fp0A5 http://t.co/Jj2Fp0A5</description>
+    <pubDate>Mon, 10 Sep 2012 13:23:59 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245150628425367552</guid>
+    <link>http://twitter.com/seandavis12/statuses/245150628425367552</link>
+    <twitter:source>&lt;a href=&quot;http://ifttt.com&quot; rel=&quot;nofollow&quot;&gt;IFTTT&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: #diigo: Visualizing large graphs: graph visualization of matrices from the University of Florida Collection http://t.co/MgB8AqUt The larg...</title>
+    <description>seandavis12: #diigo: Visualizing large graphs: graph visualization of matrices from the University of Florida Collection http://t.co/MgB8AqUt The larg...</description>
+    <pubDate>Mon, 10 Sep 2012 13:23:58 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245150625296437252</guid>
+    <link>http://twitter.com/seandavis12/statuses/245150625296437252</link>
+    <twitter:source>&lt;a href=&quot;http://ifttt.com&quot; rel=&quot;nofollow&quot;&gt;IFTTT&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: I guess it is a universal problem:  From @pjacock: First order of business: Work out which services IT broke with new firewall restrictions</title>
+    <description>seandavis12: I guess it is a universal problem:  From @pjacock: First order of business: Work out which services IT broke with new firewall restrictions</description>
+    <pubDate>Mon, 10 Sep 2012 13:10:43 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/245147291537772544</guid>
+    <link>http://twitter.com/seandavis12/statuses/245147291537772544</link>
+    <twitter:source>&lt;a href=&quot;http://itunes.apple.com/us/app/twitter/id409789998?mt=12&quot; rel=&quot;nofollow&quot;&gt;Twitter for Mac&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: [Delicious] The Wisdom of Crowds: Using Ensembles for Machine Learning - Factual Blog http://t.co/p0k8ekHG</title>
+    <description>seandavis12: [Delicious] The Wisdom of Crowds: Using Ensembles for Machine Learning - Factual Blog http://t.co/p0k8ekHG</description>
+    <pubDate>Sat, 08 Sep 2012 05:46:10 +0000</pubDate>
+    <guid>http://twitter.com/seandavis12/statuses/244310640263585792</guid>
+    <link>http://twitter.com/seandavis12/statuses/244310640263585792</link>
+    <twitter:source>&lt;a href=&quot;http://www.google.com/&quot; rel=&quot;nofollow&quot;&gt;Google&lt;/a&gt;</twitter:source>
+    <twitter:place/>
+  </item>
+  <item>
+    <title>seandavis12: Between reading #ENCODE, playing with new #emacs toy, bookmarks+, bookmarking remote files for later quick access.</title>
+    <description>seandavis12: Between reading #ENCODE, playing with new #emacs toy, bookmarks+, bookmarking remote files for later quick access.</description>
+    <pubDate>Thu, 06 Sep 2012 03:05:02 +0000</pubDate>
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