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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8798?offset=130</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27477/cytoscape</guid>
	<pubDate>Mon, 23 May 2016 02:32:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27477/cytoscape</link>
	<title><![CDATA[Cytoscape]]></title>
	<description><![CDATA[<p>Cytoscape is an <a href="http://www.cytoscape.org/download.php">open source</a> software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of <a href="http://apps.cytoscape.org/"><em>Apps</em></a> are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.</p><p>Address of the bookmark: <a href="http://www.cytoscape.org/" rel="nofollow">http://www.cytoscape.org/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/28040/tool-gene-set-clustering-based-on-functional-annotation-genescf</guid>
	<pubDate>Fri, 24 Jun 2016 17:30:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/28040/tool-gene-set-clustering-based-on-functional-annotation-genescf</link>
	<title><![CDATA[Tool: Gene Set Clustering based on Functional annotation (GeneSCF)]]></title>
	<description><![CDATA[<p><img src="http://genescf.kandurilab.org/pics/genescf_logo.png" alt="image" width="500" height="90," style="border: 0px; border: 0px;"></p><p>&nbsp;</p><p>-----------</p><p>&nbsp;</p><h1><strong>Gene Set Clustering based on Functional annotation</strong></h1><p>&nbsp;</p><p>GeneSCF serves as command line tool for clustering the list of genes given by the users based on functional annotation (Gene Ontology, KEGG, REACTOME and <a href="http://ncg.kcl.ac.uk/ncg4/" target="new">NCG 4.0</a>). It requires gene list in the form of Entrez Gene ID (UIDs) or Official gene symbols as a input. GeneSCF supports more organisms from V1.1. Examples to download database as simple text file using GeneSCF "prepare_database" module, 1) https://www.biostars.org/p/197414/#197416 , 2) https://www.biostars.org/p/191532/#191540</p><p>&nbsp;</p><p>The advantage of using GeneSCF over other enrichment tools is that, it performs enrichment analysis in real-time (v1.1 and above) by accessing source databases. With command-line versions of tools, as you know you can run multiple gene list simultaneously.</p><p>&nbsp;</p><p>------------</p><p>&nbsp;</p><table>
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<td><br /><strong><em>Home page:</em></strong><br /><br />http://genescf.kandurilab.org/<br /><br /></td>
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</table><p>&nbsp;</p><p><strong><em>Requirement:</em></strong></p><p>&nbsp;</p><p><br />GeneSCF only works on Linux system, it has been successfully tested on Ubuntu, Mint and Cent OS. Other distributions of Linux might work as well.<br /><br /></p><p>&nbsp;</p><p><br /><em><strong>Documentation:</strong></em><br /><br />http://genescf.kandurilab.org/documentation.php<br /><br /></p><p>&nbsp;</p><p><br /><em><strong>Report issues </strong></em>on <a href="https://www.biostars.org/p/108669/" target="new"> Biostars</a> or <a href="https://github.com/santhilalsubhash/geneSCF" target="new">GitHub Project page</a></p><p>&nbsp;</p><p><img src="http://genescf.kandurilab.org/pics/workflow.png" alt="image" width="280" height="250," style="border: 0px; border: 0px;"><br /><br />----------</p>]]></description>
	<dc:creator>EagleEye</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/119</guid>
	<pubDate>Wed, 10 Jul 2013 14:35:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/119</link>
	<title><![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]></title>
	<description><![CDATA[<p><span>In Bio-informatics based&nbsp;genome sequencing and predicting metabolic pathways&nbsp;research jobs&nbsp;I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38556/reactome-pathway-database</guid>
	<pubDate>Mon, 31 Dec 2018 02:41:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38556/reactome-pathway-database</link>
	<title><![CDATA[Reactome Pathway Database]]></title>
	<description><![CDATA[<p><span>REACTOME is an open-source, open access, manually curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic and clinical research, genome analysis, modeling, systems biology and education. Founded in 2003, the Reactome project is led by Lincoln Stein of&nbsp;</span><a href="http://oicr.on.ca/">OICR</a><span>, Peter D&rsquo;Eustachio of&nbsp;</span><a href="http://nyulangone.org/">NYULMC</a><span>, Henning Hermjakob of&nbsp;</span><a href="http://www.ebi.ac.uk/">EMBL-EBI</a><span>, and Guanming Wu of&nbsp;</span><a href="http://www.ohsu.edu/">OHSU</a><span>.</span></p><p>Address of the bookmark: <a href="https://reactome.org/" rel="nofollow">https://reactome.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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