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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30304?offset=960</link>
	<atom:link href="https://bioinformaticsonline.com/related/30304?offset=960" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18187/bioinformatician-for-a-lab-at-the-weizmann-institute-of-science-israel</guid>
  <pubDate>Mon, 13 Oct 2014 04:38:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician for a lab at the Weizmann Institute of Science, Israel]]></title>
  <description><![CDATA[
<p>We are looking for enthusiastic, motivated and talented people, at all career stages (MSc, PhD, postdoctoral fellows), to join the lab! Bioinformatics in particular are invited to apply. <br />Our lab focuses on understanding molecular mechanisms of protein modifications in cancer and immune regulation. <br />We employ advanced high-throughput proteomic and genomic methods, cell biology, biochemistry, immunology, in-vivo models as well as systems biology and bioinformatics to study the biology of PTMs in health and disease. Read more here: http://yifatmerbl.com.</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4547/bioinformatics-infrastructure-facility</guid>
  <pubDate>Sun, 15 Sep 2013 09:22:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Infrastructure Facility]]></title>
  <description><![CDATA[
<p>The Bioinformatics Infrastructure Facility has started working in the year 2007 at Presidency College, Kolkata. It is one of the premier institutes of India and boasts of a rich heritage and great alumni. The Infrastructure Facility has a dedicated team headed by Sayak Ganguli and ably supported by Priayanka Dhar. The coordinator of the facility is Abhijit Datta of the Post Graduate Department of Botany. The lab mainly focusses on the analysis of the RNA Induced Silencing Complex. Recent highlights include the presentation of a paper at the RNAi World Congress.</p>

<p>More @ http://bioinfo-presiuniv.edu.in/index.php</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22761/pit-bioinformatics-group</guid>
  <pubDate>Tue, 16 Jun 2015 14:34:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[PIT Bioinformatics Group]]></title>
  <description><![CDATA[
<p>PIT Bioinformatics Group solves problems in bioinformatics and  computational biology. Recent developed online tools:</p>

<p>- Budapest Reference Connectome: View a parametrizable connectome (brain graph).<br />- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.<br />- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.<br />- SCARF: Free online association rule mining tool.</p>

<p>More at: http://pitgroup.org</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</guid>
	<pubDate>Fri, 16 Aug 2013 12:24:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</link>
	<title><![CDATA[PLOS Computational Biology: Translational Bioinformatics educational resources]]></title>
	<description><![CDATA[<p>PLOS present collection of Education articles:&nbsp; &ldquo;Translational Bioinformatics&rdquo;. This collection is presented as an online &ldquo;book&rdquo; which could serve as a reference tool for a graduate level introductory course, marking a step in an exciting new direction for the Education section of the journal.</p>
<p>Blog : http://blogs.plos.org/biologue/2012/12/28/translational-bioinformatics-plos-computational-biology-presents-an-educational-resource-for-an-emerging-field/</p>
<p>Educational Material : http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</p><p>Address of the bookmark: <a href="http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11" rel="nofollow">http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</guid>
	<pubDate>Sun, 26 Jul 2015 01:57:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</link>
	<title><![CDATA[Algorithms for DNA Sequencing (course offered each month)]]></title>
	<description><![CDATA[<p>"<span>We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets."</span></p>
<p><span>Source :&nbsp;https://www.coursera.org/course/ads1</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://www.coursera.org/course/ads1" rel="nofollow">https://www.coursera.org/course/ads1</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2699/translational-bioinformatics-transforming-300-billion-points-of-data</guid>
	<pubDate>Tue, 20 Aug 2013 19:03:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2699/translational-bioinformatics-transforming-300-billion-points-of-data</link>
	<title><![CDATA[Translational Bioinformatics: Transforming 300 Billion Points of Data]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/o4KNG7nd938" frameborder="0" allowfullscreen></iframe>Translational Bioinformatics: Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease      
      
Air date:  Wednesday, June 20, 2012, 3:00:00 PM
Time displayed is Eastern Time, Washington DC Local  
 
Description:  There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations haven't been well described. The nascent field of translational bioinformatics may help. Dr. Butte's lab at Stanford University builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data (measured by researchers and clinicians over the past decade) into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab's work on using publicly available molecular measurements to find new uses for drugs, discovering new treatable mechanisms of disease in type 2 diabetes, and evaluating patients presenting with whole genomes sequenced. 

The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. 

For more information, visit: 
The NIH Director's Wednesday Afternoon Lecture Series  
Author:  Atul Butte, M.D., Ph.D., Stanford University  
Runtime:  01:07:42  
Permanent link:  http://videocast.nih.gov/launch.asp?17321]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35422/postdoc-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:13:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:</p>

<p>We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.</p>

<p>Salary: Rs 50000 per month.</p>

<p>Duration: 2 years or upto the project duration.</p>

<p>Number of position: 1</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/2741/bioinformatician-dreams</guid>
	<pubDate>Wed, 21 Aug 2013 10:50:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/2741/bioinformatician-dreams</link>
	<title><![CDATA[Bioinformatician Dreams]]></title>
	<description><![CDATA[<p>Bioinformatician life is interconnected, they always dream for a powerful server, little more space on server as they are generating lots of data per run, dream to publish results in good impact journals, meetings reminders :) and research analysis off course!!!&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/2741" length="557537" type="image/png" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</guid>
	<pubDate>Fri, 02 Mar 2018 06:54:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</link>
	<title><![CDATA[Python learning resources for bioinformatics and computational biologist !]]></title>
	<description><![CDATA[<p>Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.</p><p>Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.</p><p>For pros and cons visit&nbsp;http://www.bestprogramminglanguagefor.me/why-learn-python and&nbsp;http://bioinformaticsonline.com/discussion/view/459/python-vs-perl</p><p>More resources at&nbsp;https://github.com/CodementorIO/Python-Learning-Resources</p><p>Following are the list of useful python programming resources:</p><ul>
<li><a href="http://www.oreilly.com/programming/free/20-python-libraries-you-arent-using-but-should.csp">20 Python Libraries You Aren't Using (But Should)</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="https://en.wikibooks.org/wiki/A_Beginner%27s_Python_Tutorial">A Beginner's Python Tutorial</a></li>
<li><a href="https://python.swaroopch.com/">A Byte of Python</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://github.com/RafeKettler/magicmethods">A Guide to Python's Magic Methods</a>&nbsp;- Rafe Kettler</li>
<li><a href="http://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf">A Whirlwind Tour of Python</a>&nbsp;- Jake VanderPlas (PDF)&nbsp;<a href="http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp?download=yes">(EPUB, MOBI)</a></li>
<li><a href="http://automatetheboringstuff.com/chapter0/">Automate the Boring Stuff</a>&nbsp;- Al Sweigart</li>
<li><a href="http://biopython.org/DIST/docs/tutorial/Tutorial.pdf">Biopython</a>&nbsp;(PDF)</li>
<li><a href="http://github.com/thewhitetulip/build-app-with-python-antitextbook">Build applications in Python the antitextbook</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/python-machine-learning-algorithms">Building Machine Learning Systems with Python</a>&nbsp;- Willi Richert &amp; Luis Pedro Coelho, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.itmaybeahack.com/book/oodesign-python-2.1/latex/BuildingSkillsinOODesign.pdf">Building Skills in Object-Oriented Design (Python)</a>&nbsp;(PDF) (2.1.1)</li>
<li><a href="http://www.itmaybeahack.com/book/python-2.6/latex/BuildingSkillsinPython.pdf">Building Skills in Python</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html">Code Like a Pythonista: Idiomatic Python</a></li>
<li><a href="https://www.codecademy.com/learn/python">CodeCademy Python</a></li>
<li><a href="http://composingprograms.com/">Composing Programs</a>&nbsp;(3.x)</li>
<li><a href="https://web.archive.org/web/20161016153130/http://www.brpreiss.com/books/opus7/html/book.html">Data Structures and Algorithms in Python</a>&nbsp;- B. R. Preiss (PDF)</li>
<li><a href="http://getpython3.com/diveintopython3/">Dive into Python 3</a>&nbsp;- Mark Pilgrim (3.0)
<ul>
<li><a href="http://www.diveintopython.net/">Dive into Python</a>&nbsp;- Mark Pilgrim (2.3)</li>
</ul>
</li>
<li><a href="http://www.labri.fr/perso/nrougier/from-python-to-numpy/">From Python to NumPy</a></li>
<li><a href="http://www.fullstackpython.com/">Full Stack Python</a></li>
<li><a href="http://www.oreilly.com/programming/free/functional-programming-python.csp">Functional Programming in Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python.cs.southern.edu/pythonbook/pythonbook.pdf">Fundamentals of Python Programming</a>&nbsp;- Richard L. Halterman (PDF) (3.2)</li>
<li><a href="https://developers.google.com/edu/python/">Google's Python Class</a>&nbsp;(2.4 - 2.x)</li>
<li><a href="https://google.github.io/styleguide/pyguide.html">Google's Python Style Guide</a></li>
<li><a href="http://inventwithpython.com/hacking/chapters/">Hacking Secret Cyphers with Python</a>&nbsp;- Al Sweigart (3.3)</li>
<li><a href="http://www.oreilly.com/programming/free/hadoop-with-python.csp">Hadoop with Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://ianozsvald.com/HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf">High Performance Python</a>&nbsp;(PDF)</li>
<li><a href="http://docs.python-guide.org/en/latest/">Hitchhiker's Guide to Python!</a>&nbsp;(2.6)</li>
<li><a href="http://www.oreilly.com/programming/free/files/how-to-make-mistakes-in-python.pdf">How to Make Mistakes in Python</a>&nbsp;- Mike Pirnat (PDF) (1st edition)</li>
<li><a href="http://interactivepython.org/courselib/static/thinkcspy/index.html">How to Think Like a Computer Scientist: Learning with Python, Interactive Edition</a>&nbsp;(3.2)
<ul>
<li><a href="http://www.greenteapress.com/thinkpython/thinkCSpy/">How to Think Like a Computer Scientist: Learning with Python</a>&nbsp;- Allen B. Downey, Jeff Elkner and Chris Meyers (2.4)</li>
<li><a href="http://www.greenteapress.com/thinkpython/">Think Python</a>&nbsp;- Allen B. Downey (2.x &amp; 3.0)</li>
</ul>
</li>
<li><a href="http://book.pythontips.com/en/latest/index.html">Intermediate Python</a>&nbsp;- Muhammad Yasoob Ullah Khalid (1st edition)</li>
<li><a href="http://opentechschool.github.io/python-beginners/en/">Introduction to Programming with Python</a>&nbsp;(3.3)
<ul>
<li><a href="http://python-ebook.blogspot.co.uk/">Introduction to Programming Using Python</a>&nbsp;- Cody Jackson (1st edition) (2.3)</li>
</ul>
</li>
<li><a href="http://kracekumar.com/post/71171551647/introduction-to-python">Introduction to Python</a>&nbsp;- Kracekumar (2.7.3)</li>
<li><a href="http://inventwithpython.com/chapters/">Invent Your Own Computer Games With Python</a>&nbsp;- Al Sweigart (3.1)</li>
<li><a href="http://learnpythonbreakpython.com/">Learn Python, Break Python</a></li>
<li><a href="https://learnxinyminutes.com/docs/python/">Learn Python in Y minutes</a></li>
<li><a href="http://learnpythonthehardway.org/book/">Learn Python The Hard Way</a>&nbsp;(2.5 - 2.6)</li>
<li><a href="https://www.ida.liu.se/~732A47/literature/PythonBook.pdf">Learn to Program Using Python</a>&nbsp;- Cody Jackson (PDF)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/learning-python">Learning Python</a>&nbsp;- Fabrizio Romano, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.alan-g.me.uk/">Learning to Program</a></li>
<li><a href="https://github.com/jrjohansson/scientific-python-lectures">Lectures on scientific computing with python</a>&nbsp;- J.R. Johansson (2.7)</li>
<li><a href="http://inventwithpython.com/pygame/chapters/">Making Games with Python &amp; Pygame</a>&nbsp;- Al Sweigart (2.7)</li>
<li><a href="http://www.clips.ua.ac.be/sites/default/files/modeling-creativity.pdf">Modeling Creativity: Case Studies in Python</a>&nbsp;- Tom D. De Smedt (PDF)</li>
<li><a href="http://www.nltk.org/book/">Natural Language Processing with Python</a>&nbsp;(3.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3">Non-Programmer's Tutorial for Python 3</a>&nbsp;(3.3)
<ul>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_2.6">Non-Programmer's Tutorial for Python 2.6</a>&nbsp;(2.6)</li>
</ul>
</li>
<li><a href="http://www.oreilly.com/programming/free/from-future-import-python.csp">Picking a Python Version: A Manifesto</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python3porting.com/">Porting to Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="https://launchpadlibrarian.net/165489933/PracticalProgrammingPython2014.pdf">Practical Programming in Python</a>&nbsp;- Jeffrey Elkner (PDF)</li>
<li><a href="http://interactivepython.org/runestone/static/pythonds/index.html">Problem Solving with Algorithms and Data Structures using Python</a>&nbsp;- Bradley N. Miller and David L. Ranum</li>
<li><a href="http://programarcadegames.com/">Program Arcade Games With Python And Pygame</a>&nbsp;(3.3)</li>
<li><a href="http://programmingcomputervision.com/downloads/ProgrammingComputerVision_CCdraft.pdf">Programming Computer Vision with Python</a>&nbsp;(PDF)</li>
<li><a href="https://docs.python.org/2/download.html">Python 2 Official Documentation</a>&nbsp;(PDF, HTML, TEXT) (2.x)</li>
<li><a href="http://infohost.nmt.edu/tcc/help/pubs/python/web/">Python 2.7 quick reference</a>&nbsp;- New Mexico Tech (2.7)</li>
<li><a href="https://docs.python.org/3/download.html">Python 3 Official Documentation</a>&nbsp;(PDF, EPUB, HTML, TEXT) (3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1230000000393/index.html">Python Cookbook</a>&nbsp;- David Beazley</li>
<li><a href="https://github.com/jakevdp/PythonDataScienceHandbook">Python Data Science Handbook</a>&nbsp;- Jake VanderPlas (HTML, Jupyter Notebooks)</li>
<li><a href="http://www.kevinsheppard.com/images/0/09/Python_introduction.pdf">Python for Econometrics</a>&nbsp;- Kevin Sheppard (PDF) (2.7.5)</li>
<li><a href="http://py4e.com/book.php">Python for Everybody Exploring Data Using Python 3</a>&nbsp;- Charles Severance (PDF, EPUB, HTML)
<ul>
<li><a href="http://www.pythonlearn.com/book.php">Python for Informatics: Exploring Information</a>&nbsp;(2.7.5)</li>
</ul>
</li>
<li><a href="http://pymbook.readthedocs.org/en/latest/">Python for you and me</a>&nbsp;(2.7.3)</li>
<li><a href="http://pymbook.readthedocs.org/en/py3/">Python for you and me</a>&nbsp;(3.x)</li>
<li><a href="http://safehammad.com/downloads/python-idioms-2014-01-16.pdf">Python Idioms</a>&nbsp;(PDF)</li>
<li><a href="http://www.oreilly.com/programming/free/python-in-education.csp">Python in Education</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.greenteapress.com/pythonhydro/pythonhydro.html">Python in Hydrology</a>&nbsp;- Sat Kumar Tomer</li>
<li><a href="https://github.com/gregmalcolm/python_koans">Python Koans</a>&nbsp;(2.7 or 3.x)</li>
<li><a href="https://pymotw.com/3/">Python Module of the Week</a>&nbsp;(3.x)
<ul>
<li><a href="https://pymotw.com/2/">Python Module of the Week</a>&nbsp;(2.x)</li>
</ul>
</li>
<li><a href="http://books.goalkicker.com/PythonBook/">Python Notes for Professionals</a>&nbsp;- Compiled from StackOverflow documentation (3.x)</li>
<li><a href="http://anandology.com/python-practice-book/index.html">Python Practice Book</a>&nbsp;(2.7.1)</li>
<li><a href="http://pythonpracticeprojects.com/">Python Practice Projects</a></li>
<li><a href="https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf">Python Programming</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://scipy-lectures.github.io/">Scipy Lecture Notes</a></li>
<li><a href="http://www-inst.eecs.berkeley.edu/~cs61a/sp12/book/">SICP in Python</a>&nbsp;(3.2)</li>
<li><a href="http://www.briggs.net.nz/snake-wrangling-for-kids.html">Snake Wrangling For Kids</a>&nbsp;(3.x)</li>
<li><a href="http://python3porting.com/">Suporting Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1234000000754/index.html">Test-Driven Web Development with Python</a>&nbsp;(3.3 - 3.x)</li>
<li><a href="http://gnosis.cx/TPiP/">Text Processing in Python</a>&nbsp;- David Mertz (2.3 - 2.x)</li>
<li><a href="http://www.spronck.net/pythonbook/">The Coder's Apprentice: Learning Programming with Python 3</a>&nbsp;- Pieter Spronck (PDF) (3.x)</li>
<li><a href="http://www.jython.org/jythonbook/en/1.0">The Definitive Guide to Jython, Python for the Java Platform</a>&nbsp;- Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (2.5)</li>
<li><a href="http://docs.quantifiedcode.com/python-anti-patterns/">The Little Book of Python Anti-Patterns</a>&nbsp;(<a href="https://github.com/quantifiedcode/python-anti-patterns">Source</a>)</li>
<li><a href="http://niche-canada.org/research/niche-digital-infrastructure-project/the-programming-historian/">The Programming Historian</a>&nbsp;- William J. Turkel, Adam Crymble and Alan MacEachern</li>
<li><a href="http://mirnazim.org/writings/python-ecosystem-introduction/">The Python Ecosystem: An Introduction</a></li>
<li><a href="http://python-gtk-3-tutorial.readthedocs.org/en/latest/">The Python GTK+ 3 Tutorial</a></li>
<li><a href="http://effbot.org/librarybook/">The Standard Python Library</a>&nbsp;- Fredrik Lundh</li>
<li><a href="http://greenteapress.com/complexity/">Think Complexity</a>&nbsp;- Allen B. Downey (2nd Edition) (PDF, HTML)</li>
<li><a href="http://web2py.com/book">Web2py: Complete Reference Manual, 6th Edition (pre-release)</a>&nbsp;(2.5 - 2.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Python_Programming">Wikibooks: Python Programming</a>&nbsp;(2.7)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4072/bioinformatics</guid>
	<pubDate>Wed, 28 Aug 2013 19:16:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4072/bioinformatics</link>
	<title><![CDATA[BIOINFORMATICS]]></title>
	<description><![CDATA[<iframe src="http://player.vimeo.com/video/52455340?byline=0" width="" height="" frameborder="0" webkitAllowFullScreen allowFullScreen></iframe>This is a promo video for the brand new cross-boarder branch of study - BIOINFORMATICS. It´s a co-operation between Johannes Kepler University in Linz (Austria) and University of South Bohemia in České Budějovice (Czech Republic).  Written, Edited and Directed by, DOP, VFX: Jan Míka  Sound by: Mirek Šmilauer  Narrator: Jack Bright  Produced by: FILMOFON (http://www.filmofon.cz)  Released: Nov 2012]]></description>
	
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