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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43273?offset=200</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42813/bioinformatics-in-africa-part5-nigeria</guid>
	<pubDate>Sat, 06 Feb 2021 21:13:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42813/bioinformatics-in-africa-part5-nigeria</link>
	<title><![CDATA[Bioinformatics in Africa: Part5 - Nigeria]]></title>
	<description><![CDATA[<p>Covenant University (CU)&shy;Ota:<br />Covenant University (with her enriching and growing state&shy;of&shy;the&shy;art laboratories in the area of &nbsp;science and technology, arts, business and social sciences) is presently the Best University in &nbsp;Nigeria (Private University category), based on the recent over&shy;all rating just concluded by the &nbsp;Nigeria &nbsp; University &nbsp; Commission &nbsp; (NUC). &nbsp; Recently, &nbsp; Covenant &nbsp; University &nbsp; has &nbsp; initiated &nbsp; the &nbsp;establishment of a Centre for Applied Biotech, Bio&shy;Informatics and Microbiology (CBBM) to be &nbsp;situated at the University. The institute has been designed to be a Public&shy;Private Partnership for a productive synergy b/w Academia, Industry and Government. The whole concept is still evolving &nbsp;and more details will be release soon. As regards CBBM, a dedicated computing lab is in plan, but even our computing capacity is &nbsp;presently enormous. In the department of Computer and Information Sciences, we have more than &nbsp;250 Pentium 4 PCs set aside for teaching and research purposes. Furthermore, we have several &nbsp;moderate speed PCs at the Postgraduate research lab and our engineering departments and units. &nbsp;Our wet lab facilities is presently minimal (basic for teaching), the Centre requirement as it touches &nbsp;the wet&shy;laboratories is also set to upgrade this to basic tools expected at an international centre of learning.</p><p>University&nbsp;of&nbsp;Ibadan&nbsp;(UIB)&shy;Ibadan:<br />There&nbsp;has&nbsp;been&nbsp;significant&nbsp;increase&nbsp;in&nbsp;the&nbsp;number&nbsp;of&nbsp;bioinformatics&nbsp;activities&nbsp;in&nbsp;Nigeria&nbsp;(and&nbsp;West Africa)&nbsp;since&nbsp;2003&nbsp;when&nbsp;the&nbsp;program&nbsp;was&nbsp;initiated&nbsp;by&nbsp;the&nbsp;West&nbsp;African&nbsp;Biotechnology&nbsp;Workshops Series&nbsp;(WABWS,&nbsp;http://www.wabw.org)&nbsp;at&nbsp;the&nbsp;University&nbsp;of&nbsp;Ibadan,&nbsp;Nigeria&nbsp;(in&nbsp;collaboration&nbsp;with&nbsp; the&nbsp;South&nbsp;African&nbsp;National&nbsp;Bioinformatics&nbsp;Institute&nbsp;(SANBI,&nbsp;http:/www.sanbi.ac.za).&nbsp;Workshops&nbsp; that&nbsp;were&nbsp;open&nbsp;to&nbsp;scientists&nbsp;from&nbsp;all&nbsp;African&nbsp;countries&nbsp;have&nbsp;seen&nbsp;a&nbsp;very&nbsp;high&nbsp;number&nbsp;of&nbsp;applications&nbsp; from&nbsp;scientists&nbsp;based&nbsp;in&nbsp;West&nbsp;Africa.&nbsp;The&nbsp;encouraging&nbsp;desire&nbsp;to&nbsp;acquire&nbsp;cutting&shy;edge&nbsp;skills&nbsp;to&nbsp; computational&nbsp;process&nbsp;data&nbsp;and&nbsp;extract&nbsp;useful&nbsp;knowledge&nbsp;from&nbsp;genome&nbsp;projects&nbsp;led&nbsp;to&nbsp;the&nbsp;interest&nbsp;of&nbsp; the&nbsp;West&nbsp;African&nbsp;Biotechnology&nbsp;Workshops&nbsp;(WABW)&nbsp;to&nbsp;develop&nbsp;an&nbsp;agenda&nbsp;to&nbsp;address&nbsp;the&nbsp; bioinformatics&nbsp;skills&nbsp;gap&nbsp;among&nbsp;scientists&nbsp;in&nbsp;West&nbsp;Africa.&nbsp;An&nbsp;increased&nbsp;commitment&nbsp;from&nbsp;agencies&nbsp; like&nbsp;NEPAD&nbsp;would&nbsp;be&nbsp;required&nbsp;in&nbsp;the&nbsp;provision&nbsp;of&nbsp;infrastructure&nbsp;to&nbsp;establish&nbsp;and&nbsp;sustain&nbsp;regional&nbsp; and&nbsp;national&nbsp;networks.</p><p>University&nbsp;of&nbsp;Ilorin&nbsp;(UIL)&shy;Ilorin:<br />The&nbsp;University&nbsp;of&nbsp;Ilorin&nbsp;was&nbsp;established&nbsp;in&nbsp;1976&nbsp;by&nbsp;the&nbsp;Federal&nbsp;Government&nbsp;of&nbsp;Nigeria.&nbsp; Bioinformatics&nbsp;activities&nbsp;started&nbsp;at&nbsp;the&nbsp;University&nbsp;in&nbsp;February&nbsp;2003&nbsp;with&nbsp;the&nbsp;establishment&nbsp;of&nbsp;the&nbsp; West&nbsp;African&nbsp;Bioinformatics&nbsp;Research&nbsp;Initiative&nbsp;(WABRI).&nbsp;However,&nbsp;progress&nbsp;has&nbsp;been&nbsp;rather&nbsp;slow&nbsp; due&nbsp;to&nbsp;inadequate&nbsp;funding.&nbsp;We&nbsp;are&nbsp;mainly&nbsp;engaged&nbsp;in&nbsp;Bioinformatics&nbsp;training&nbsp;at&nbsp;the&nbsp;introductory&nbsp; level&nbsp;and&nbsp;proteomics&nbsp;studies&nbsp;on&nbsp;various&nbsp;species&nbsp;of&nbsp;malaria&nbsp;parasites.&nbsp;Recently,&nbsp;we&nbsp;became&nbsp;interested&nbsp; in&nbsp;comparative&nbsp;genome&nbsp;analysis&nbsp;of&nbsp;various&nbsp;species&nbsp;of &nbsp;Plasmodium&nbsp; and&nbsp;the&nbsp;comparison&nbsp;of&nbsp; chloroquine&nbsp;sensitive&nbsp;and&nbsp;chloroquine&nbsp;resistant&nbsp;strains&nbsp;of&nbsp;Plasmodium&nbsp;falciparum.&nbsp;Other&nbsp;activities&nbsp; and&nbsp;areas&nbsp;of&nbsp;interest&nbsp;can&nbsp;be&nbsp;seen&nbsp;on&nbsp;our&nbsp;website,&nbsp;http://www.wabri.org,&nbsp;although&nbsp;not&nbsp;all&nbsp;our&nbsp; proposed&nbsp;interests&nbsp;have&nbsp;been&nbsp;fully&nbsp;implemented&nbsp;due&nbsp;to&nbsp;our&nbsp;level&nbsp;of&nbsp;funding.</p><p>Training:<br />The&nbsp;University&nbsp;of&nbsp;Ilorin&nbsp;has&nbsp;introduced&nbsp;M.Sc.&nbsp;and&nbsp;Ph.D.&nbsp;programmes&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;(with&nbsp; options&nbsp;in&nbsp;Bioinformatics).&nbsp;The&nbsp;programme&nbsp;is&nbsp;based&nbsp;in&nbsp;the&nbsp;Department&nbsp;of&nbsp;Computer&nbsp;Science&nbsp;and&nbsp; emphasis&nbsp;is&nbsp;on&nbsp;the&nbsp;development&nbsp;of&nbsp;algorithms&nbsp;to&nbsp;solve&nbsp;problems&nbsp;in&nbsp;bioinformatics. The&nbsp;Covenant&nbsp;University&nbsp;offers&nbsp;M.Sc.&nbsp;and&nbsp;Ph.D&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;with&nbsp;option&nbsp;in&nbsp;Bioinformatics&nbsp; (Computational&nbsp;Biology).&nbsp;Furthermore,&nbsp;through&nbsp;affiliated&nbsp;departments,&nbsp;the&nbsp;CBBM&nbsp;is&nbsp;been&nbsp;design&nbsp;to&nbsp;award&nbsp;Diploma&nbsp;and&nbsp;Degree&nbsp;certificates&nbsp;in&nbsp;Biotechnology.</p><p>Web&nbsp;sites&nbsp;and&nbsp;links: http://www.covenantuniversity.com http://www.run.edu.ng http://www.uniben.edu http://www.wabri.org http://www.wabw.org http://www.unilorin.edu.ng http://www.wabri.org http://www.asopah.org</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43431/code-golf</guid>
	<pubDate>Wed, 06 Oct 2021 04:17:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43431/code-golf</link>
	<title><![CDATA[Code Golf]]></title>
	<description><![CDATA[<p>Code Golf is a game designed to let you show off your code-fu by solving problems in the least number of characters.</p>
<p>Since this is your first time here, I suggest starting with something simple like&nbsp;<a href="https://code.golf/fizz-buzz">Fizz Buzz</a>.</p><p>Address of the bookmark: <a href="https://code.golf/" rel="nofollow">https://code.golf/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43681/a-guide-to-machine-learning-for-biologists</guid>
	<pubDate>Tue, 28 Dec 2021 01:43:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43681/a-guide-to-machine-learning-for-biologists</link>
	<title><![CDATA[A guide to machine learning for biologists]]></title>
	<description><![CDATA[<p>Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine learning techniques fit models to data; nevertheless, the specific methods are highly variable and can appear baffling at first glance. In this Review, we hope to give readers a moderate introduction to a few fundamental machine learning techniques, including the most recently created and frequently used deep neural network techniques. We illustrate how different algorithms may be adapted to specific types of biological data, as well as some best practises and points to consider when embarking on machine learning studies. There is also discussion of several upcoming directions in machine learning methodology.</p><p>Address of the bookmark: <a href="https://www.nature.com/articles/s41580-021-00407-0" rel="nofollow">https://www.nature.com/articles/s41580-021-00407-0</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</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/44648/modern-statistics-with-r</guid>
	<pubDate>Thu, 22 Aug 2024 04:44:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44648/modern-statistics-with-r</link>
	<title><![CDATA[Modern Statistics with R]]></title>
	<description><![CDATA[<p>This is the online version of the second edition of&nbsp;<em>Modern Statistics with R</em>. It is free to use, and always will be.&nbsp;<a href="https://www.routledge.com/Modern-Statistics-with-R-From-Wrangling-and-Exploring-Data-to-Inference-and-Predictive-Modelling/Thulin/p/book/9781032512440">Printed copies</a>&nbsp;are available from CRC Press.</p>
<p><span>Live&nbsp;<a href="https://statistikakademin.se/in-english-r/">online courses on statistics with R</a></span>&nbsp;based on this book, led by the author, are offered regularly; see&nbsp;<a href="https://statistikakademin.se/in-english-r/">this page</a>&nbsp;for more information and dates.</p>
<p>The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of&nbsp;<em>Modern Statistics with R</em>&nbsp;is to introduce you to key parts of the modern statistical toolkit. It teaches you:</p>
<ul>
<li><span>Data wrangling</span>&nbsp;- importing, formatting, reshaping, merging, and filtering data in R.</li>
<li><span>Exploratory data analysis</span>&nbsp;- using visualisations and multivariate techniques to explore datasets.</li>
<li><span>Statistical inference</span>&nbsp;- modern methods for testing hypotheses and computing confidence intervals.</li>
<li><span>Predictive modelling</span>&nbsp;- regression models and machine learning methods for prediction, classification, and forecasting.</li>
<li><span>Simulation</span>&nbsp;- using simulation techniques for sample size computations and evaluations of statistical methods.</li>
<li><span>Ethics in statistics</span>&nbsp;- ethical issues and good statistical practice.</li>
<li><span>R programming</span>&nbsp;- writing code that is fast, readable, and (hopefully!) free from bugs.</li>
</ul>
<p>The book includes plenty of examples and more than 200 exercises with worked solutions.&nbsp;<a href="http://www.modernstatisticswithr.com/data.zip">The datasets used for the examples and the exercises can be downloaded here.</a></p><p>Address of the bookmark: <a href="https://www.modernstatisticswithr.com/" rel="nofollow">https://www.modernstatisticswithr.com/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</guid>
	<pubDate>Wed, 29 Jan 2020 06:29:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</link>
	<title><![CDATA[Understanding your reads and mapping !]]></title>
	<description><![CDATA[<p>One of the best tutorial for beginners ...</p>
<p>https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</p><p>Address of the bookmark: <a href="https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html" rel="nofollow">https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43323/biostarhandbook</guid>
	<pubDate>Fri, 27 Aug 2021 01:31:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43323/biostarhandbook</link>
	<title><![CDATA[biostarhandbook]]></title>
	<description><![CDATA[<p>Nice book collection for bioinformatician ... highly recommended.</p><p>Address of the bookmark: <a href="https://www.biostarhandbook.com/" rel="nofollow">https://www.biostarhandbook.com/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44179/python-mini-projects</guid>
	<pubDate>Mon, 16 Jan 2023 02:14:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44179/python-mini-projects</link>
	<title><![CDATA[Python Mini Projects !]]></title>
	<description><![CDATA[<p><span>There is a directory for each chapter of the book. Each directory contains a&nbsp;</span><code>test.py</code><span>&nbsp;program you can use with&nbsp;</span><code>pytest</code><span>&nbsp;to check that you have written the program correctly. I have included a short README to describe each exercise. If you have problems writing code (or if you would like to support this project!), the book contains details about the skills you need.</span></p>
<p>https://github.com/kyclark/tiny_python_projects</p><p>Address of the bookmark: <a href="https://github.com/kyclark/tiny_python_projects" rel="nofollow">https://github.com/kyclark/tiny_python_projects</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33461/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</guid>
	<pubDate>Wed, 07 Jun 2017 04:18:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33461/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</link>
	<title><![CDATA[GraphMap - A highly sensitive and accurate mapper for long, error-prone reads]]></title>
	<description><![CDATA[<p>GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html<br><br><strong>Features</strong><br><br>&nbsp;&nbsp;&nbsp; Mapping position agnostic to alignment parameters.<br>&nbsp;&nbsp;&nbsp; Consistently very high sensitivity and precision across different error profiles, rates and sequencing technologies even with default parameters.<br>&nbsp;&nbsp;&nbsp; Circular genome handling to resolve coverage drops near ends of the genome.<br>&nbsp;&nbsp;&nbsp; E-value.<br>&nbsp;&nbsp;&nbsp; Meaningful mapping quality.<br>&nbsp;&nbsp;&nbsp; Various alignment strategies (semiglobal bit-vector and Gotoh, anchored).<br>&nbsp;&nbsp;&nbsp; Overlapping of reads for de novo assembly.<br>&nbsp;&nbsp;&nbsp; Transcriptome mapping through internal construction of a transcriptome from a given genomic reference and a GTF file.<br>&nbsp;&nbsp;&nbsp; ...and much more.<br><br>GraphMap is also used as an overlapper in a new de novo genome assembly project called Ra (https://github.com/mariokostelac/ra-integrate).<br>Ra attempts to create de novo assemblies from raw nanopore and PacBio reads without requiring error correction, for which a highly sensitive overlapper is required.<br><br>Currently, development of a new spliced-alignment mode for mapping RNA-seq reads is under way.<br>Description of the current effort as well as how to reach the experimental implementation can be found here: doc/rnaseq.md.</p><p>Address of the bookmark: <a href="https://github.com/isovic/graphmap" rel="nofollow">https://github.com/isovic/graphmap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34702/run-miniasm-assembler-on-nanopore-reads</guid>
	<pubDate>Mon, 18 Dec 2017 04:07:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34702/run-miniasm-assembler-on-nanopore-reads</link>
	<title><![CDATA[Run miniasm assembler on nanopore reads !]]></title>
	<description><![CDATA[<p>Miniasm is a very fast OLC-based&nbsp;<em>de novo</em>&nbsp;assembler for noisy long reads. It takes all-vs-all read self-mappings (typically by&nbsp;<a href="https://github.com/lh3/minimap">minimap</a>) as input and outputs an assembly graph in the&nbsp;<a href="https://github.com/pmelsted/GFA-spec/blob/master/GFA-spec.md">GFA</a>&nbsp;format. Different from mainstream assemblers, miniasm does not have a consensus step. It simply concatenates pieces of read sequences to generate the final&nbsp;<a href="http://wgs-assembler.sourceforge.net/wiki/index.php/Celera_Assembler_Terminology">unitig</a>&nbsp;sequences. Thus the per-base error rate is similar to the raw input reads.</p><p>Find the detail of the reads repeats:</p><blockquote><p>fq2fa ONT_A.fastq ONT_A.fasta&nbsp;<br /><br />minimap2 -xava-ont ONT_A.fasta ONT_A.fasta -t10 -X &gt; AONT.paf&nbsp;<br /><br />awk '{if($1==$6){print}}' AONT.paf &gt; AONTself.paf&nbsp;<br /><br />awk '$5=="-"' AONTself.paf | awk '{print $1}'| sort|uniq &gt; invertedrepeat.list</p></blockquote><p>Generated a few palindrome and repeats plots (highlighting only repeats largest than 10, 20 and 30 kb)</p><blockquote><p>minidot -f 5 -m 30000 AONTself.paf &gt; AONTself30000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself30000.eps &gt; AONTself30000final.eps&nbsp;<br /><br />minidot -f 5 -m 20000 AONTself.paf &gt; AONTself20000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself20000.eps &gt; AONTself20000final.eps&nbsp;<br /><br />minidot -f 5 -m 10000 AONTself.paf &gt; AONTself10000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself10000.eps &gt; AONTself10000final.eps&nbsp;</p></blockquote><p>Assemble with miniasm:</p><blockquote><p>miniasm -f ONT_A.fasta AONT.paf &gt; AONT.gfa&nbsp;</p><p>grep '^S' AONT.gfa |awk '{print "&gt;"$2"\n"$3}' &gt; AONT_miniasm.fasta&nbsp;<br /><br />minimap2 -xasm10 AONT_miniasm.fasta AONT_miniasm.fasta -t1 -X &gt; AONT_miniasm.paf&nbsp;<br /><br />awk '{if($1==$6){print}}' AONT_miniasm.paf &gt; AONT_miniasm_self.paf&nbsp;<br /><br />minidot -f 5 -m 10000 AONT_miniasm_self.paf &gt; AONT_miniasm_self10000.eps&nbsp;</p></blockquote><p>Njoy the assembly !</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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