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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38378?offset=140</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27238/slurm</guid>
	<pubDate>Wed, 04 May 2016 05:13:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27238/slurm</link>
	<title><![CDATA[SLURM]]></title>
	<description><![CDATA[<p><a href="http://www.schedmd.com/">SLURM</a> workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing.</p>
<p>This page is a <em>HOWTO</em> guide for setting up a <a href="http://www.schedmd.com/">SLURM</a> installation, currently focused on a CentOS 7 Linux OS. Please send feedback to Ole.H.Nielsen /at/ fysik.dtu.dk.</p>
<p>See the <a href="http://www.schedmd.com/">SLURM</a> homepage (also <a href="https://computing.llnl.gov/linux/slurm/">https://computing.llnl.gov/linux/slurm/</a>).</p><p>Address of the bookmark: <a href="https://wiki.fysik.dtu.dk/niflheim/SLURM" rel="nofollow">https://wiki.fysik.dtu.dk/niflheim/SLURM</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43563/apache-server-setting</guid>
	<pubDate>Fri, 29 Oct 2021 04:29:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43563/apache-server-setting</link>
	<title><![CDATA[Apache server setting !]]></title>
	<description><![CDATA[<p>Apache is an open source web server that&rsquo;s available for Linux servers free of charge.</p>
<p>In this tutorial we&rsquo;ll be going through the steps of setting up an Apache server.</p>
<h3>What you&rsquo;ll learn</h3>
<ul>
<li>How to set up Apache</li>
<li>Some basic Apache configuration</li>
</ul><p>Address of the bookmark: <a href="https://ubuntu.com/tutorials/install-and-configure-apache#3-creating-your-own-website" rel="nofollow">https://ubuntu.com/tutorials/install-and-configure-apache#3-creating-your-own-website</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44206/heatmap-draw</guid>
	<pubDate>Mon, 06 Mar 2023 04:24:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44206/heatmap-draw</link>
	<title><![CDATA[Heatmap Draw !]]></title>
	<description><![CDATA[<p>Server for heatmap generation !</p>
<p>https://software.broadinstitute.org/morpheus/</p><p>Address of the bookmark: <a href="https://software.broadinstitute.org/morpheus/" rel="nofollow">https://software.broadinstitute.org/morpheus/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</guid>
	<pubDate>Wed, 17 Oct 2018 04:31:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</link>
	<title><![CDATA[FRODOCK 2.0: fast protein–protein docking server]]></title>
	<description><![CDATA[<p><span>frodock: a&nbsp;user-friendly protein&ndash;protein docking server based on an improved version of FRODOCK that includes a complementary knowledge-based potential. The web interface provides a very effective tool to explore and select protein&ndash;protein models and interactively screen them against experimental distance constraints. The competitive success rates and efficiency achieved allow the retrieval of reliable potential protein&ndash;protein binding conformations that can be further refined with more computationally demanding strategies.</span></p><p>Address of the bookmark: <a href="http://frodock.chaconlab.org/" rel="nofollow">http://frodock.chaconlab.org/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40235/bioinformatics-web-development-course</guid>
	<pubDate>Wed, 06 Nov 2019 20:42:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40235/bioinformatics-web-development-course</link>
	<title><![CDATA[Bioinformatics web development course]]></title>
	<description><![CDATA[<p>This web development course, targeted at Biology and Bioinformatics students, aims at teaching from scratch all the skills needed to setup a fully working Linux web server and to develop and deploy web applications for Bioinformatics.</p>
<p>No previous programming knowledge is assumed. By following this tutorial you will learn the fundamental concepts of programming by using scripting languages: variables, types, arrays, cycles, conditional statements, functions, objects, regular expressions, files reading and manipulation et-cetera.</p><p>Address of the bookmark: <a href="http://www.cellbiol.com/bioinformatics_web_development/introduction/" rel="nofollow">http://www.cellbiol.com/bioinformatics_web_development/introduction/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41565/csar-web-a-web-server-of-contig-scaffolding-using-algebraic-rearrangements</guid>
	<pubDate>Fri, 10 Apr 2020 04:39:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41565/csar-web-a-web-server-of-contig-scaffolding-using-algebraic-rearrangements</link>
	<title><![CDATA[CSAR-web: a web server of contig scaffolding using algebraic rearrangements]]></title>
	<description><![CDATA[<p><span>CSAR-web is a web-based tool that allows the users to efficiently and accurately scaffold (i.e. order and orient) the contigs of a target draft genome based on a complete or incomplete reference genome from a related organism.&nbsp;</span></p>
<p><span><span>CSAR-web can serve as a convenient and useful scaffolding tool allowing the users to efficiently and accurately scaffold their draft genomes according to a complete or incomplete reference genome.&nbsp;</span></span></p><p>Address of the bookmark: <a href="http://genome.cs.nthu.edu.tw/CSAR-web" rel="nofollow">http://genome.cs.nthu.edu.tw/CSAR-web</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43907/htop-explained</guid>
	<pubDate>Wed, 06 Jul 2022 01:28:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43907/htop-explained</link>
	<title><![CDATA[htop explained]]></title>
	<description><![CDATA[<p>For the longest time I did not know what everything meant in htop.</p>
<p>I thought that load average&nbsp;<code>1.0</code>&nbsp;on my two core machine means that the CPU usage is at 50%. That's not quite right. And also, why does it say&nbsp;<code>1.0</code>?</p>
<p>I decided to look everything up and document it here.</p><p>Address of the bookmark: <a href="https://peteris.rocks/blog/htop/" rel="nofollow">https://peteris.rocks/blog/htop/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</guid>
	<pubDate>Fri, 03 Mar 2017 05:15:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</link>
	<title><![CDATA[MetaPred2CS]]></title>
	<description><![CDATA[<p style="text-align: justify;"><strong>MetaPred2CS Web server&nbsp;</strong>is a meta-predictor based on&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/17160063">Support Vector Machine (SVM)</a>&nbsp;that combines 6 individual sequence based protein-protein interaction prediction methods to predict&nbsp;<strong>prokaryotic two-component system&nbsp;</strong>protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11933068">in-silico two hybrid (i2h)</a>&nbsp;and&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11707606">mirror tree (MT)</a>&nbsp;methods and 4 genomics context based methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/15947018">phylogenetic profiling (PP)</a>,&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/10573422">gene fusion (GF)</a>,&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene neighbourhood (GN)</a>&nbsp;and and&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene operon methods (GO)</a>.</p>
<p>&nbsp;http://metapred2cs.ibers.aber.ac.uk/</p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/MetaPred2CS" rel="nofollow">https://github.com/martinjvickers/MetaPred2CS</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27847/anvio</guid>
	<pubDate>Thu, 16 Jun 2016 18:15:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27847/anvio</link>
	<title><![CDATA[Anvio]]></title>
	<description><![CDATA[<p>In a nutshell</p>
<p>Anvi&rsquo;o is an analysis and visualization platform for &lsquo;omics data.</p>
<p>Please find the methods paper here: https://peerj.com/articles/1319/</p>
<p>Anvi&rsquo;o would not have been possible without the help of many people who directly or indirectly contributed to its development. Here is the acknowledgements section of our methods paper</p>
<p><span>An analysis and visualization platform for 'omics data</span><span>&nbsp;</span><span><a href="http://merenlab.org/projects/anvio">http://merenlab.org/projects/anvio</a></span></p>
<p><span>Paper&nbsp;https://peerj.com/articles/1839/</span></p><p>Address of the bookmark: <a href="https://github.com/meren/anvio" rel="nofollow">https://github.com/meren/anvio</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28199/genome-workbench-2107</guid>
	<pubDate>Fri, 01 Jul 2016 12:09:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28199/genome-workbench-2107</link>
	<title><![CDATA[Genome Workbench 2.10.7]]></title>
	<description><![CDATA[<p>Genome Workbench 2.10.7 is here! New features include added support for local custom BLAST databases and improvements to Tree View.</p><p>For the full list of features, improvements and fixes, see the release notes:<a href="https://ncbi.nlm.nih.gov/tools/gbench/releasenotes" target="_blank">https://ncbi.nlm.nih.gov/tools/gbench/releasenotes</a></p><p>New Features</p><ul>
<li>BLAST Tool: added support for local custom BLAST databases</li>
<li>Graphical Sequence View: added log scaling option for graph tracks</li>
<li>Generic Table View:&nbsp;<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial17">new tutorial</a>&nbsp;added</li>
</ul><p>Bug Fixes and Improvements</p><ul>
<li>Project Tree View: Genomic Collections/Assemblies now show accessions, not just names</li>
<li>Tree View: layout updated to better accommodate nodes of different sizes</li>
<li>Table Import Dialog (MacOS): fixed issue with table visibility</li>
<li>Fixed bug where different molecules IDs in GenBank could resolve to the same sequence</li>
<li>Graphical Sequence View: fixed issue where sequence track was not shown for some sequences</li>
<li>Graphical Sequence View: fixed protein coloration methods</li>
<li>Graphical Sequence View: improved rendering of Markers to better indicate boundaries and produce higher quality PDF images</li>
<li>Create Gene Model tool: fixed scenario when gene model tool failed with local sequences</li>
<li>Search View: ORF Finder &ndash; fixed incorrect protein lengths</li>
<li>Fixed bug with not opening project file (.gbp) on a click</li>
<li>Fixed issues in GVF import</li>
<li>Fixed BLAST Search tool against NCBI databases not working</li>
<li>Fixed tblastn (protein BLAST) not working in standalone mode</li>
<li>Fixed GTF export failure</li>
</ul>]]></description>
	<dc:creator>Gudiya Pal</dc:creator>
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