<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44633?offset=30</link>
	<atom:link href="https://bioinformaticsonline.com/related/44633?offset=30" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<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/44543/seeing-theory-and-learn</guid>
	<pubDate>Tue, 04 Jun 2024 00:31:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44543/seeing-theory-and-learn</link>
	<title><![CDATA[Seeing Theory and Learn]]></title>
	<description><![CDATA[<p>Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock&rsquo;s JavaScript library D3.js).</p><p>Address of the bookmark: <a href="https://seeing-theory.brown.edu/" rel="nofollow">https://seeing-theory.brown.edu/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44622/variant-calling-resequencing-based-genome-inference</guid>
	<pubDate>Wed, 31 Jul 2024 02:02:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44622/variant-calling-resequencing-based-genome-inference</link>
	<title><![CDATA[Variant Calling Resequencing-Based Genome Inference]]></title>
	<description><![CDATA[<p>Variant Calling - Resequencing-Based Genome Inference</p>
<p>Erik Garrison<br>University of Tennessee Health Science Center<br>Workshop on Genomics - Česk&yacute; Krumlov<br>January 12, 2024</p>
<p>https://evomics.org/wp-content/uploads/2024/01/Variant-calling-Workshop-on-Genomics-2024-Cesky-Krumlov.pdf</p><p>Address of the bookmark: <a href="https://evomics.org/wp-content/uploads/2024/01/Variant-calling-Workshop-on-Genomics-2024-Cesky-Krumlov.pdf" rel="nofollow">https://evomics.org/wp-content/uploads/2024/01/Variant-calling-Workshop-on-Genomics-2024-Cesky-Krumlov.pdf</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</guid>
	<pubDate>Thu, 12 Aug 2021 00:09:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</link>
	<title><![CDATA[Interactive Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>Learn how to use bioinformatics tools right from your browser.<br>Everything runs in a sandbox, so you can experiment all you want.</p>
<p>More at sandbox.bio</p><p>Address of the bookmark: <a href="http://sandbox.bio" rel="nofollow">http://sandbox.bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43631/pangolin-tutorial</guid>
	<pubDate>Fri, 10 Dec 2021 05:58:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43631/pangolin-tutorial</link>
	<title><![CDATA[Pangolin tutorial !]]></title>
	<description><![CDATA[<p><span>This is a tutorial for using the Pangolin Web Application. For information on using the command line tool, please visit the&nbsp;</span><a href="https://cov-lineages.org/resources/pangolin/usage.html">command line tool usage page</a><span>.</span></p>
<p>https://cov-lineages.org/resources/pangolin/tutorial.html</p><p>Address of the bookmark: <a href="https://cov-lineages.org/resources/pangolin/tutorial.html" rel="nofollow">https://cov-lineages.org/resources/pangolin/tutorial.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</guid>
	<pubDate>Sat, 06 Jul 2024 10:30:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</link>
	<title><![CDATA[Free resources to learn statistics]]></title>
	<description><![CDATA[<p><span>Welcome to the course notes for&nbsp;</span><span>STAT 414: Introduction to Probability Theory</span><span>. These notes are designed and developed by Penn State's&nbsp;</span><a href="https://science.psu.edu/stat">Department of Statistics</a><span>&nbsp;and offered as open educational resources. These notes are free to use under Creative Commons license&nbsp;</span><a href="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0</a><span>.</span></p>
<p>&nbsp;</p>
<p>A free online version of the second edition of the book based on Stat 110,&nbsp;<em>Introduction to Probability</em>&nbsp;by Joe Blitzstein and Jessica Hwang,&nbsp;is now available at&nbsp;<a href="http://probabilitybook.net/" title="http://probabilitybook.net">http://probabilitybook.net</a></p>
<p>Print copies are available via&nbsp;<a href="https://www.crcpress.com/Introduction-to-Probability-Second-Edition/Blitzstein-Hwang/p/book/9781138369917" title="">CRC Press</a>,&nbsp;<a href="https://amzn.to/2Ubh7D8" title="">Amazon</a>, and elsewhere.&nbsp;</p>
<p>Stat110x is also available as an&nbsp;edX course.&nbsp;Free signup at&nbsp;<a href="https://www.edx.org/course/introduction-to-probability-0" title="https://www.edx.org/course/introduction-to-probability-0">https://www.edx.org/course/introduction-to-probability-0</a></p>
<p>The edX course focuses on animations, interactive features, readings, and problem-solving, and&nbsp;is&nbsp;<strong>complementary</strong>&nbsp;to the Stat 110 lecture videos on YouTube, which are available at&nbsp;<a href="https://goo.gl/i7njSb" title="https://goo.gl/i7njSb">https://goo.gl/i7njSb</a></p>
<p>The Stat110x animations are available within the course and at&nbsp;<a href="https://goo.gl/g7pqTo" title="">https://goo.gl/g7pqTo</a></p>
<p><a href="https://projects.iq.harvard.edu/stat110/home">https://projects.iq.harvard.edu/stat110/home</a>&nbsp;</p><p>Address of the bookmark: <a href="https://online.stat.psu.edu/stat414/" rel="nofollow">https://online.stat.psu.edu/stat414/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/140/python-education-material</guid>
	<pubDate>Wed, 10 Jul 2013 16:38:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/140/python-education-material</link>
	<title><![CDATA[Python Education Material]]></title>
	<description><![CDATA[<p><span>Google provide free class for people with a little bit of programming experience who want to learn Python. The google python class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience.</span></p><p><span>Find more @&nbsp;<a href="https://developers.google.com/edu/python/">https://developers.google.com/edu/python/</a></span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</guid>
	<pubDate>Thu, 22 Jan 2015 22:29:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</link>
	<title><![CDATA[Bioinformatics Scripts]]></title>
	<description><![CDATA[<p>Some of the useful bioinformatics scripts.</p>
<p>For example ... contig-stats.pl is a Perl script that will automatically describe features of a sequence assembly.</p>
<p>http://milkweedgenome.org/?q=scripts</p><p>Address of the bookmark: <a href="http://milkweedgenome.org/?q=scripts" rel="nofollow">http://milkweedgenome.org/?q=scripts</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36360/dendropy-a-python-library-for-phylogenetic-computing</guid>
	<pubDate>Mon, 23 Apr 2018 05:49:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36360/dendropy-a-python-library-for-phylogenetic-computing</link>
	<title><![CDATA[DendroPy: a Python library for phylogenetic computing]]></title>
	<description><![CDATA[<p>DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc. Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary. DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting &ldquo;glue&rdquo; that assembles and drives such pipelines.</p>
<p>The primary home page for DendroPy, with detailed tutorials and documentation, is at:</p>
<blockquote><div><a href="http://dendropy.org/">http://dendropy.org/</a></div></blockquote>
<p>DendroPy is also hosted in the official Python repository:</p>
<blockquote><div><a href="http://packages.python.org/DendroPy/">http://packages.python.org/DendroPy/</a></div></blockquote>
<div id="requirements-and-installation">
<h2>Requirements and Installation</h2>
<p>DendroPy 4.x runs under Python 3 (all versions &gt; 3.1) and Python 2 (Python 2.7 only).</p>
<p>You can install DendroPy by running:</p>
<pre>&nbsp;</pre>
<p>More information is available here:</p>
<blockquote><div><a href="http://dendropy.org/downloading.html">http://dendropy.org/downloading.html</a></div></blockquote>
</div>
<div id="documentation">
<h2>Documentation</h2>
<p>Full documentation is available here:</p>
<blockquote><div><a href="http://dendropy.org/">http://dendropy.org/</a></div></blockquote>
<p>This includes:</p>
<blockquote>
<ul>
<li><a href="http://dendropy.org/primer/index.html">A comprehensive &ldquo;getting started&rdquo; primer</a>&nbsp;.</li>
<li><a href="http://dendropy.org/library/index.html">API documentation</a>&nbsp;.</li>
<li><a href="http://dendropy.org/schemas/index.html">Descriptions of data formats supported for reading/writing</a>&nbsp;.</li>
</ul>
</blockquote>
<p>and more.</p>
</div><p>Address of the bookmark: <a href="https://pypi.org/project/DendroPy/" rel="nofollow">https://pypi.org/project/DendroPy/</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>

</channel>
</rss>