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	<title><![CDATA[BOL: Related items]]></title>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41901/far-manager-commands-and-links</guid>
	<pubDate>Tue, 23 Jun 2020 06:24:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41901/far-manager-commands-and-links</link>
	<title><![CDATA[Far Manager Commands and Links !]]></title>
	<description><![CDATA[<p>Far Manager is a program for managing files and archives in&nbsp;<acronym title="2000/XP/2003/Vista/2008/7">Windows operating systems</acronym>. Far Manager works in text mode and provides a simple and intuitive interface for performing most of the necessary actions:</p>
<ul>
<li>viewing files and directories;</li>
<li>editing, copying and renaming files;</li>
<li>and many other actions.</li>
</ul>
<p><a href="https://www.farmanager.com/">https://www.farmanager.com/</a></p>
<p>Basic instruction at</p>
<p><a href="https://conemu.github.io/en/FarManager.html">https://conemu.github.io/en/FarManager.html</a></p>
<p>Plugins at&nbsp;</p>
<p><a href="https://plugring.farmanager.com/">https://plugring.farmanager.com/</a></p><p>Address of the bookmark: <a href="https://www.farmanager.com/" rel="nofollow">https://www.farmanager.com/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics</guid>
	<pubDate>Wed, 20 Aug 2014 22:09:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics</link>
	<title><![CDATA[Pimp your brain: Bioinformatics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/KqelGy6Q8nE" frameborder="0" allowfullscreen></iframe>Jan Lisec from the Max Planck Institute of Molecular Plant Physiology explains, in this "pimp your brain" episode, what bioinformatics is and why bioinformatics is so important and indispensable for biological research.

In the video serial "Pimp your brain" scientists from the Max Planck Institute of Molecular Plant Physiology describe their research. More videos from the 'Pimp your brain' serial are available on www.youtube.com/playlist?list=PL-l9VItC9Gn2Ur2Xj6PTOAkjLUlVPbIOO

More videos are available on www.mpimp-golm.mpg.de]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32076/ngs-teaching-material</guid>
	<pubDate>Wed, 05 Apr 2017 04:29:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32076/ngs-teaching-material</link>
	<title><![CDATA[NGS teaching material]]></title>
	<description><![CDATA[<p><span>High throughput sequencing (HTS) technologies are being applied to a wide range of important topics in biology. However, the analyses of non-model organisms, for which little previous sequence information is available, pose specific problems. This course addresses the specific strengths and weaknesses of alternative HTS technologies, the computational resources needed for HTS, and how to analyze non-model species using HTS. The course consists of a practical training module, HTS bioinformatics training, and lecturing/seminars of HTS approaches specifically targeting non-model organisms.</span></p><p>Address of the bookmark: <a href="http://marinetics.org/teaching/hts/Assembly.html" rel="nofollow">http://marinetics.org/teaching/hts/Assembly.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36605/hello-python-world</guid>
	<pubDate>Mon, 14 May 2018 16:41:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36605/hello-python-world</link>
	<title><![CDATA[Hello Python World !]]></title>
	<description><![CDATA[<p>As I mentioned earlier, I will keep on posting one Python script per day to introduce you to Python programming. Whether you are an experienced programmer or not, this tutorial is intended for everyone who wishes to learn the Python programming language.</p><p>Python is a very simple language, and has a very straightforward syntax. The simplest directive in Python is the "print" directive - it simply prints out a line (and also includes a newline).</p><p>Create a file Hello.py</p><blockquote><p>print("Hello, Python World !.")</p></blockquote><p>Run</p><p>python3 Hello.py</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco</guid>
	<pubDate>Sat, 06 Feb 2021 13:31:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco</link>
	<title><![CDATA[Bioinformatics in Africa: Part 4 - Morocco]]></title>
	<description><![CDATA[<p>Bioinformatics, in the UFR in Artificial Intelligence and Bioinformatics, deals with the management, the analysis, the modelling and the visualization of biological databases. Since the size of the databases is often exponential, the traditional algorithms are not very effective when seeking for a good computational solution.</p><p>To take care of this issue, many ways are opened to the researchers&nbsp;to&nbsp;improve&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;algorithms:</p><p>1. Usage of new information processing methods like artificial neuronal networks, genetic algorithms,&nbsp;etc. 2. Usage&nbsp;of&nbsp;Data&nbsp;mining&nbsp;&nbsp;to&nbsp;explore&nbsp;biochemical&nbsp;databases,<br />3. Usage of Machine learning on the biological examples to solve, for example, the problem of classification&nbsp;in&nbsp;Bioinformatics.</p><p>UFR&nbsp;offers&nbsp;in&nbsp;addition&nbsp;a&nbsp;doctoral&nbsp;training&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;and&nbsp;Bioinformatics.</p><p>Doctoral&nbsp;module&nbsp;which&nbsp;includes:&nbsp;a&nbsp;Dipl&ocirc;me&nbsp;des&nbsp;Etudes&nbsp;Sup&eacute;rieures&nbsp;Approfondies&nbsp;(DESA)&nbsp; of&nbsp;two&nbsp;years;&nbsp;and&nbsp;a&nbsp;doctorate&nbsp;studies&nbsp;program&nbsp;with&nbsp;a&nbsp;national&nbsp;Ph.D.&nbsp;certification. Three&nbsp;specializations&nbsp;constitute&nbsp;the&nbsp;teaching&nbsp;trunk&nbsp;of&nbsp;the&nbsp;ENSAT:&nbsp;Computer&nbsp;engineering,&nbsp;Telecom&nbsp; engineering,&nbsp;and&nbsp;electronic&nbsp;systems&nbsp;engineering.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities:</p><p>The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest:</p><p>1. Machine&nbsp;Learning&nbsp;and&nbsp;Profile&nbsp;Gene&nbsp;Expression&nbsp;of&nbsp;Cancer<br />2. Predicting&nbsp;Protein&nbsp;structure <br />3. Hidden&nbsp;Markov&nbsp;Models&nbsp;(HMMs)&nbsp;and&nbsp;multiple&nbsp;alignments <br />4. Transformational&nbsp;Grammar&nbsp;for&nbsp;sequence&nbsp;modelling <br />5. Physical&nbsp;Mapping:&nbsp;STSs <br />6. Evolutionary&nbsp;Computation&nbsp;applied&nbsp;to&nbsp;Genomic&nbsp;and&nbsp;Proteomic <br />7. Predicate&nbsp;Logic&nbsp;and&nbsp;Protein&nbsp;Structure</p><p>Web&nbsp;site&nbsp;and&nbsp;links:</p><p>http://www.ensat.ac.ma/udiab http://www.pasteur.fr/pasteur/international/annonce_coursBioinfoannonce06_casa.pdf</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43008/list-of-useful-machine-ai-learning-resources</guid>
	<pubDate>Tue, 30 Mar 2021 08:56:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43008/list-of-useful-machine-ai-learning-resources</link>
	<title><![CDATA[List of useful machine / ai learning resources !]]></title>
	<description><![CDATA[<p>ML&nbsp;cheatsheet !</p><p>https://github.com/remicnrd/ml_cheatsheet</p><p>Visual AI / ML</p><p>https://setosa.io/ev/</p><p>Simple and efficient tools for predictive data analysis</p><p><span>https://scikit-learn.org/stable/</span></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44403/programming-for-lovers</guid>
	<pubDate>Tue, 07 Nov 2023 23:56:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44403/programming-for-lovers</link>
	<title><![CDATA[Programming for Lovers !]]></title>
	<description><![CDATA[<p>Programming for Lovers (P4❤️) is a free online course that teaches programming using the Go programming language by immersing learners in fun scientific applications.</p>
<p>Each chapter focuses on a single scientific problem and contains a core text accompanied by code alongs and autograded exercises.</p>
<p>You can meet Phillip Compeau in our intro video. Phillip has taught programming at Carnegie Mellon University for years and is a serial online education founder. He is thrilled to bring you this course.</p><p>Address of the bookmark: <a href="https://programmingforlovers.com/" rel="nofollow">https://programmingforlovers.com/</a></p>]]></description>
	<dc:creator>BioStar</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/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</guid>
	<pubDate>Mon, 14 May 2018 16:33:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</link>
	<title><![CDATA[Learning Python Programming - a bioinformatician perspective !]]></title>
	<description><![CDATA[<p>Python Programming&nbsp;is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics tasks. In the current era of big biological data, python and biopython is getting more popularity due to its easy-to-use features which supports big data processing.</p><p>In this tutorial series article, I will explore features and packages of python which are widely used in the big data, NGS, and bioinformatics. I will also walk through a real biological example which shows NGS data processing with the help of python packages and programming.</p><p>Python has a couple of points to recommend it to biologists and scientists specifically:</p><ul>
<li>It's widely used in the scientific community</li>
<li>It has a couple of very well designed libraries for doing complex scientific computing (although we won't encounter them in this book)</li>
<li>It lend itself well to being integrated with other, existing tools</li>
<li>It has features which make it easy to manipulate strings of characters (for example, strings of DNA bases and protein amino acid residues, which we as biologists are particularly fond of)</li>
</ul><p>In general, following are some of the important features of python which makes it a perfect fit for rapid application development.</p><ul>
<li>Python is interpreted language so the program does not need to be compiled. Interpreter parses the program code and generates the output.</li>
<li>Python is dynamically typed, so the variables types are defined automatically.</li>
<li>Python is strongly typed. So the developers need to cast the type manually.</li>
<li>Less code and more use makes it more acceptable.</li>
<li>Python is portable, extendable and scalable.</li>
</ul><p>There are two major Python versions, Python 2 and Python 3. Python 2 and 3 are quite different. This tutorial uses Python 3, because it more semantically correct and supports newer features.</p><p>I will post tutorial on daily basis on this page. Check the sub-pages on right side.</p>]]></description>
	<dc:creator>Rahul Nayak</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>

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