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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/20331?offset=1060</link>
	<atom:link href="https://bioinformaticsonline.com/related/20331?offset=1060" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/898/ruby-language</guid>
	<pubDate>Mon, 15 Jul 2013 01:34:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/898/ruby-language</link>
	<title><![CDATA[Ruby Language]]></title>
	<description><![CDATA[<p>Ruby was created by Yukihiro Matsumoto, who wished to create a new language that balanced functional programming with imperative programming</p><p>Ruby is a dynamic, reflective, general purpose object-oriented programming language that combines syntax inspired by Perl with Smalltalk-like features. Ruby originated in Japan during the mid-1990s and was initially developed and designed by Yukihiro "Matz" Matsumoto. It was influenced primarily by Perl, Smalltalk, Eiffel, and Lisp.</p><p>Ruby supports multiple programming paradigms, including functional, object oriented, imperative and reflective. It also has a dynamic typesystem and automatic memory management; it is therefore similar in varying respects to Python, Perl, Lisp, Dylan, Pike, and CLU.</p><p>The standard 1.8.7 implementation is written in C, as a single-pass interpreted language. There is currently no specification of the Ruby language, so the original implementation is considered to be the de facto reference. As of 2010, there are a number of complete or upcoming alternative implementations of the Ruby language, including YARV, JRuby, Rubinius, IronRuby, MacRuby and HotRuby, each of which takes a different approach, with IronRuby, JRuby and MacRuby providing just-in-time compilation and MacRuby also providing ahead-of-time compilation. The official 1.9 branch uses YARV, as will 2.0 (development), and will eventually supersede the slower Ruby MRI.</p><p>Ruby Quick Reference<br />http://www.zenspider.com/Languages/Ruby/QuickRef.html</p><p>Ruby Annotation<br />http://www.w3.org/TR/ruby/</p><p>Ruby in Linux Journals<br />http://www.linuxjournal.com/article/5915</p><p>Ruby Documentation: Programming Ruby<br />http://ruby-doc.org/docs/ProgrammingRuby/</p><p>The Top 10 Reasons The Ruby Programming Language Sucks</p><p>http://www.slideshare.net/vishnu/the-top-10-reasons-the-ruby-programming-language-sucks</p><p>Ruby : The Programmers best friends<br />http://www.ruby-lang.org/en/</p><p>For Ruby Beginners<br />http://www.squidoo.com/ruby-programming-beginner</p><p>Ruby Programming<br />http://en.wikibooks.org/wiki/Ruby_Programming</p><p>Ruby CookBook<br />http://en.wikibooks.org/wiki/Cookbook:Table_of_Contents</p><p>Ruby Programming Challenge for Newbies -<br />http://rubylearning.com/blog/ruby-programming-challenge-faq/</p><p>Common "issues" faced by Ruby Newbies by Chris Strom -<br />http://japhr.blogspot.com/2009/10/newbie-feedback.html</p><p>Books<br />http://www.sapphiresteel.com/The-Book-Of-Ruby</p><p>Free Online Ruby Programming along with many Ruby newbies here -<br />http://rubylearning.org/class/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40724/the-raku-programming-language</guid>
	<pubDate>Tue, 28 Jan 2020 05:37:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40724/the-raku-programming-language</link>
	<title><![CDATA[The Raku Programming Language]]></title>
	<description><![CDATA[<p><span>Raku is a member of the Perl family of programming languages. Formerly known as Perl 6, it was renamed in October 2019. Raku introduces elements of many modern and historical languages. Compatibility with Perl was not a goal, though a compatibility mode is part of the specification.</span><span>&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://www.raku.org/">https://www.raku.org/</a></span></p><p>Address of the bookmark: <a href="https://www.raku.org/" rel="nofollow">https://www.raku.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35148/mojolicious-a-next-generation-web-framework-for-the-perl-programming-language</guid>
	<pubDate>Fri, 12 Jan 2018 16:48:10 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35148/mojolicious-a-next-generation-web-framework-for-the-perl-programming-language</link>
	<title><![CDATA[mojolicious: a next generation web framework for the Perl programming language.]]></title>
	<description><![CDATA[<p><span>Back in the early days of the web, many people learned Perl because of a wonderful Perl library called&nbsp;</span><a href="https://metacpan.org/module/CGI" target="_blank">CGI</a><span>. It was simple enough to get started without knowing much about the language and powerful enough to keep you going, learning by doing was much fun. While most of the techniques used are outdated now, the idea behind it is not. Mojolicious is a new endeavor to implement this idea using bleeding edge technologies.</span></p>
<h2>Features</h2>
<ul>
<li>An amazing&nbsp;<strong>real-time web framework</strong>, allowing you to easily grow single file prototypes into well-structured MVC web applications.
<ul>
<li>Powerful out of the box with RESTful routes, plugins, commands, Perl-ish templates, content negotiation, session management, form validation, testing framework, static file server, CGI/<a href="http://plackperl.org/" target="_blank">PSGI</a>&nbsp;detection, first class Unicode support and much more for you to discover.</li>
</ul>
</li>
<li>A powerful&nbsp;<strong>web development toolkit</strong>, that you can use for all kinds of applications, independently of the web framework.
<ul>
<li>Full stack HTTP and WebSocket client/server implementation with IPv6, TLS, SNI, IDNA, HTTP/SOCKS5 proxy, UNIX domain socket, Comet (long polling), Promises/A+, keep-alive, connection pooling, timeout, cookie, multipart and gzip compression support.</li>
<li>Built-in non-blocking I/O web server, supporting multiple event loops as well as optional pre-forking and hot deployment, perfect for building highly scalable web services.</li>
<li>JSON and HTML/XML parser with CSS selector support.</li>
</ul>
</li>
<li>Very clean, portable and object-oriented pure-Perl API with no hidden magic and no requirements besides Perl 5.24.0 (versions as old as 5.10.1 can be used too, but may require additional CPAN modules to be installed)</li>
<li>Fresh code based upon years of experience developing&nbsp;<a href="http://catalystframework.org/" target="_blank">Catalyst</a>, free and open source.</li>
<li>Hundreds of 3rd party&nbsp;<a href="https://metacpan.org/requires/distribution/Mojolicious">extensions</a>&nbsp;and high quality spin-off projects like the&nbsp;<a href="https://metacpan.org/pod/Minion">Minion</a>&nbsp;job queue.</li>
</ul>
<p>http://mojolicious.org/</p><p>Address of the bookmark: <a href="http://mojolicious.org/" rel="nofollow">http://mojolicious.org/</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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40214/gooey-turn-almost-any-python-command-line-program-into-a-full-gui-application-with-one-line</guid>
	<pubDate>Fri, 01 Nov 2019 00:29:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40214/gooey-turn-almost-any-python-command-line-program-into-a-full-gui-application-with-one-line</link>
	<title><![CDATA[Gooey: Turn (almost) any Python command line program into a full GUI application with one line]]></title>
	<description><![CDATA[<p><span>Turn (almost) any Python command line program into a full GUI application with one line</span></p>
<p>The easiest way to install Gooey is via&nbsp;<code>pip</code></p>
<pre><code>pip install Gooey 
</code></pre>
<p>Alternatively, you can install Gooey by cloning the project to your local directory</p>
<pre><code>git clone https://github.com/chriskiehl/Gooey.git
</code></pre>
<p>run&nbsp;<code>setup.py</code></p>
<pre><code>python setup.py install</code></pre><p>Address of the bookmark: <a href="https://github.com/chriskiehl/Gooey" rel="nofollow">https://github.com/chriskiehl/Gooey</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41043/postdoctoral-scientist-genome-analytics-genome-bioinformatics-mf</guid>
  <pubDate>Sun, 16 Feb 2020 02:57:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral scientist genome analytics/ genome bioinformatics (m/f/*)]]></title>
  <description><![CDATA[
<p>https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html<br />Your profile:<br />Degree in bioinformatics, biostatistics, or equivalent<br />Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance computing<br />Strong competence in working in Unix/Linux environments (shell)<br />Strong programming skills (in particular: Python, R, Perl)<br />Experience with using git and snakemake<br />Fluent English language skills, both spoken and written<br />Strong communication skills and motivation to work in a young, interdisciplinary, dynamic team</p>

<p>Additional Information:</p>

<p>If you have any questions about scientific aspects of this position, please contact Prof. Lars Bertram, head of LIGA (lars.bertram@uni-luebeck.de).</p>

<p>Please contact Ms. Anna Wolbert for further questions about administrative details (recruiting@uksh.de).</p>

<p>Weitere Informationen erhalten Sie auch unter www.uksh.de/karriere.</p>

<p>Wir freuen uns auf Ihre Bewerbung bis zum 15.03.2020 unter Angabe unserer Ausschreibungsnummer 20190570.119.CL.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44633/learn-python-with-example</guid>
	<pubDate>Tue, 06 Aug 2024 23:51:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44633/learn-python-with-example</link>
	<title><![CDATA[Learn python with example]]></title>
	<description><![CDATA[<div><div><div><p>There are over 21 unique&nbsp;Python project&nbsp;walkthroughs in this content that range from beginner to advanced. See below for the timestamps for these projects:</p><p><span>00:00:00 | How To Navigate These Projects</span><br /><span>---</span><br /><span>00:01:46 | #1 - Quiz Game (Easy)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F5-Python-Projects-For-Beginners%2Fblob%2Fmain%2Fquiz_game.py" target="_blank">https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/quiz_game.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>00:22:00 | #2 - Number Guessing Game (Easy)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F5-Python-Projects-For-Beginners%2Fblob%2Fmain%2Fnumber_guesser.py" target="_blank">https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/number_guesser.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>00:39:49 | #3 - Rock, Paper, Scissors (Easy)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F5-Python-Projects-For-Beginners%2Fblob%2Fmain%2Frock_paper_scissors.py" target="_blank">https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/rock_paper_scissors.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>00:54:40 | #4 - Choose Your Own Adventure Game (Easy)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F5-Python-Projects-For-Beginners%2Fblob%2Fmain%2Fchoose_your_own_adventure.py" target="_blank">https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/choose_your_own_adventure.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>01:06:47 | #5 - Password Manager (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F5-Python-Projects-For-Beginners%2F" target="_blank">https://github.com/techwithtim/5-Python-Projects-For-Beginners/</a><span>&nbsp;</span><br /><span>Fernet Cryptography Documentation:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fcryptography.io%2Fen%2Flatest%2Ffernet%2F" target="_blank">https://cryptography.io/en/latest/fernet/</a><span>&nbsp;</span><br /><span>---</span><br /><span>01:37:37 | #6 - PIG (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects%2Fblob%2Fmain%2Fproject1.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project1.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>01:59:07 | #7 - Madlibs Generator (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects%2Fblob%2Fmain%2Fproject2.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project2.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>02:15:04 | #8 - Timed Math Challenge (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects%2Fblob%2Fmain%2Fproject3.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project3.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>02:28:02 | #9 - Slot Machine (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FPython-Slot-Machine" target="_blank">https://github.com/techwithtim/Python-Slot-Machine</a><span>&nbsp;</span><br /><span>---</span><br /><span>03:20:43 | #10 - Turtle Racing (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FTurtle-Racing-V2" target="_blank">https://github.com/techwithtim/Turtle-Racing-V2</a><span>&nbsp;</span><br /><span>Turtle Docs:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fdocs.python.org%2F3%2Flibrary%2Fturtle.html" target="_blank">https://docs.python.org/3/library/turtle.html</a><span>&nbsp;</span><br /><span>---</span><br /><span>04:13:09 | #11 - WPM Typing Test (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FWPM_Typing_Test" target="_blank">https://github.com/techwithtim/WPM_Typing_Test</a><span>&nbsp;</span><br /><span>Curses Docs:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fdocs.python.org%2F3%2Fhowto%2Fcurses.html" target="_blank">https://docs.python.org/3/howto/curses.html</a><span>&nbsp;</span><br /><span>05:09:43 | #12 - Alarm Clock (Easy)</span><br /><span>Python Project Idea Blog:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fhackr.io%2Fblog%2Fpython-projects" target="_blank">https://hackr.io/blog/python-projects</a><span>&nbsp;</span><br /><span>Sound Effects:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fwww.fesliyanstudios.com%2Froyalty-free-sound-effects-download%2Falarm-203" target="_blank">https://www.fesliyanstudios.com/royalty-free-sound-effects-download/alarm-203</a><span>&nbsp;</span><br /><span>---</span><br /><span>05:22:07 | #13 - Password Generator (Easy)</span><br /><span>Python Project Idea Blog:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fhackr.io%2Fblog%2Fpython-projects" target="_blank">https://hackr.io/blog/python-projects</a><span>&nbsp;</span><br /><span>---</span><br /><span>05:39:16 | #14 - Shortest Path Finder (Advanced)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects-For-Intermediates%2Fblob%2Fmain%2Fpath-finder.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/path-finder.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>06:14:53 | #15 - NBA Stats &amp; Current Scores (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects-For-Intermediates%2Fblob%2Fmain%2Fnba-scores.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/nba-scores.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>06:38:22 | #16 - Currency Converter (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2F3-Mini-Python-Projects-For-Intermediates%2Fblob%2Fmain%2Fcurrency-converter.py" target="_blank">https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/currency-converter.py</a><span>&nbsp;</span><br /><span>API: https://free.currencyconverterapi.com/</span><br /><span>---</span><br /><span>06:58:51 | #17 - YouTube Video Downloader (Medium)</span><br /><span>Code: &nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FPython-Beginner-Automation-Projects%2Fblob%2Fmain%2Fyoutube.py" target="_blank">https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/youtube.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>07:09:50 | #18 - Automated File Backup (Medium)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FPython-Beginner-Automation-Projects%2Fblob%2Fmain%2Fbackup.py" target="_blank">https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/backup.py</a><span>&nbsp;</span><br /><span>---</span><br /><span>07:21:18 | #19 - Mastermind/4 Color Match (Advanced)</span><br /><span>---</span><br /><span>07:48:20 | #20 - Aim Trainer (Advanced)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FPython-Aim-Trainer" target="_blank">https://github.com/techwithtim/Python-Aim-Trainer</a><span>&nbsp;</span><br /><span>---</span><br /><span>08:39:20 | #21 - Advanced Python Scripting (Advanced)</span><br /><span>Code:&nbsp;</span><a href="https://morioh.com/redirect?id=65b0752318cf2dc4d28010e1&amp;own=5ff684ea1a53c42123416f96&amp;l=https%3A%2F%2Fgithub.com%2Ftechwithtim%2FPython-Scripting-Project" target="_blank">https://github.com/techwithtim/Python-Scripting-Project</a><span>&nbsp;</span></p></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</guid>
	<pubDate>Thu, 30 May 2019 04:06:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</link>
	<title><![CDATA[snakepipes: A toolkit based on snakemake and python for analysis of NGS data]]></title>
	<description><![CDATA[<p><span><span>snakePipes are flexible and powerful workflows built using&nbsp;</span><a href="https://github.com/maxplanck-ie/snakepipes/blob/master/snakemake.readthedocs.io">snakemake</a><span>&nbsp;that simplify the analysis of NGS data.</span></span></p>
<ul>
<li>DNA-mapping*</li>
<li>ChIP-seq*</li>
<li>RNA-seq*</li>
<li>ATAC-seq*</li>
<li>scRNA-seq</li>
<li>Hi-C</li>
<li>Whole Genome Bisulfite Seq/WGBS</li>
</ul>
<p><span>(*Also available in "allele-specific" mode)</span></p>
<p><span>snakePipes can be installed via conda : </span></p>
<p><span>'conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'. </span></p>
<p><span>Source code (</span><a href="https://github.com/maxplanck-ie/snakepipes" target="">https://github.com/maxplanck-ie/snakepipes</a><span>) and documentation (</span><a href="https://snakepipes.readthedocs.io/en/latest/" target="">https://snakepipes.readthedocs.io/en/latest/</a><span>) are available online.</span></p><p>Address of the bookmark: <a href="https://github.com/maxplanck-ie/snakepipes" rel="nofollow">https://github.com/maxplanck-ie/snakepipes</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</guid>
	<pubDate>Fri, 18 Jul 2014 05:42:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</link>
	<title><![CDATA[Breaking chromosomes to study cancer !!!]]></title>
	<description><![CDATA[<p>Chromosomes are present in every cell of our body and they contain the information the body needs to develop and function properly. This information is carried in genes that are arranged along the chromosomes. There are usually 46 chromosomes in every cell. These chromosomes come in pairs, one from our mother and one from our father. The chromosomes can be sorted into 23 pairs by looking at them down a microscope.</p><p>Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation. <br /><br />Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas. <br /><br />Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.</p><p>Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing&rsquo;s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.</p><p>By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.</p><p>Reference:</p><p>http://en.wikipedia.org/wiki/Chromosomal_translocation</p><p>http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html<br /><br /></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</guid>
	<pubDate>Wed, 22 Mar 2023 02:10:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</link>
	<title><![CDATA[Tools for Geospatial data analysis !]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Geospatial data is becoming increasingly important in many fields, including urban planning, environmental science, public health, and more. These tools can help you work with data from a variety of sources, including satellite imagery, GPS data, and other forms of spatial data. They can help you visualize data, perform complex analysis, and even create maps and other visualizations.</p><p>The list includes some of the most popular and widely used geospatial tools available in Python. These tools can help you work with data from a variety of sources and in a variety of formats. Some of the tools are focused on visualization, such as Cartopy, Folium, and Contextily, which allow you to create interactive maps and other visualizations. Other tools are more focused on data manipulation and analysis, such as Fiona, GeoPandas, and Rasterio, which allow you to manipulate and analyze spatial data in a variety of ways.</p><p>The list also includes some tools for working with specific types of geospatial data. For example, the H3 library is designed specifically for working with hexagonal grids, while PySAL is focused on spatial econometrics and spatial analysis. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p><p>In summary, this list is an excellent resource for anyone working with geospatial data in Python. It contains a wide range of tools for working with different types of data, and can help you visualize data, perform complex analysis, and create maps and other visualizations. If you're looking to enhance your skills in geospatial analysis, this list is definitely worth checking out.</p></div></div></div><div><p>These tools are:</p><ul>
<li>ArcGIS - <a href="https://lnkd.in/dgC6sKJH" target="_new">https://lnkd.in/dgC6sKJH</a></li>
<li>Cartopy - <a href="https://lnkd.in/dc8ijXRg" target="_new">https://lnkd.in/dc8ijXRg</a></li>
<li>Contextily - <a href="https://lnkd.in/dTdQsmKX" target="_new">https://lnkd.in/dTdQsmKX</a></li>
<li>Descartes - <a href="https://lnkd.in/dCJykxwW" target="_new">https://lnkd.in/dCJykxwW</a></li>
<li>Fiona - <a href="https://lnkd.in/d8sJ3Q5a" target="_new">https://lnkd.in/d8sJ3Q5a</a></li>
<li>Folium - <a href="https://lnkd.in/dfSsE-MB" target="_new">https://lnkd.in/dfSsE-MB</a></li>
<li>GDAL - <a href="https://lnkd.in/dYBJBaAY" target="_new">https://lnkd.in/dYBJBaAY</a></li>
<li>Geohash - <a href="https://lnkd.in/d_NxJ4_M" target="_new">https://lnkd.in/d_NxJ4_M</a></li>
<li>GeoJSON - <a href="https://lnkd.in/daGs2WYq" target="_new">https://lnkd.in/daGs2WYq</a></li>
<li>GeoPandas - <a href="https://lnkd.in/dBTFKKV3" target="_new">https://lnkd.in/dBTFKKV3</a></li>
<li>Geopy - <a href="https://lnkd.in/dfAzR8Xa" target="_new">https://lnkd.in/dfAzR8Xa</a></li>
<li>Gevent - <a href="http://www.gevent.org/" target="_new">http://www.gevent.org</a></li>
<li>H3 - <a href="https://h3geo.org/docs/" target="_new">https://h3geo.org/docs/</a></li>
<li>OSMnx - <a href="https://lnkd.in/dm3pHgUS" target="_new">https://lnkd.in/dm3pHgUS</a></li>
<li>PyQGIS - <a href="https://lnkd.in/dShWyWVr" target="_new">https://lnkd.in/dShWyWVr</a></li>
<li>PySAL - <a href="https://pysal.org/" target="_new">https://pysal.org</a></li>
<li>Pydeck - <a href="https://lnkd.in/dGBFu-iw" target="_new">https://lnkd.in/dGBFu-iw</a></li>
<li>Pyproj - <a href="https://lnkd.in/dNG9fdkm" target="_new">https://lnkd.in/dNG9fdkm</a></li>
<li>RTree - <a href="https://lnkd.in/dURMiYpU" target="_new">https://lnkd.in/dURMiYpU</a></li>
<li>Rasterio - <a href="https://lnkd.in/dEMC6ve6" target="_new">https://lnkd.in/dEMC6ve6</a></li>
<li>Scikit-mobility - <a href="https://lnkd.in/dpHhaX2J" target="_new">https://lnkd.in/dpHhaX2J</a></li>
<li>Shapely - <a href="https://lnkd.in/d568datK" target="_new">https://lnkd.in/d568datK</a></li>
</ul><p>These tools offer a wide range of capabilities for working with geospatial data, from visualizing and manipulating data to performing complex analysis and modeling. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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