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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38006?offset=640</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22891/17-marie-curie-phd-position-available-immediately</guid>
  <pubDate>Tue, 23 Jun 2015 06:52:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[17 Marie Curie PhD position available immediately]]></title>
  <description><![CDATA[
<p>Kindly look into following webpage:<br />http://medhealth.leeds.ac.uk/info/1450/scholarships/1795/marie_curie_phd_training_network</p>

<p>The closing date for application will be 26 June 2015.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34549/kraken-a-universal-genomic-coordinate-translator-for-comparative-genomics</guid>
	<pubDate>Thu, 07 Dec 2017 04:45:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34549/kraken-a-universal-genomic-coordinate-translator-for-comparative-genomics</link>
	<title><![CDATA[kraken: A universal genomic coordinate translator for comparative genomics]]></title>
	<description><![CDATA[<p><span>If you planning on conducting a study involving dozens of large genomes, then you do not have to run all pairwise synteny alignments .. simply try&nbsp;kraken: A universal genomic coordinate translator for comparative genomics</span></p><p>Address of the bookmark: <a href="https://github.com/nedaz/kraken" rel="nofollow">https://github.com/nedaz/kraken</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38577/genoviz-visualization-software-for-genomics</guid>
	<pubDate>Wed, 02 Jan 2019 04:07:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38577/genoviz-visualization-software-for-genomics</link>
	<title><![CDATA[GenoViz: Visualization software for genomics]]></title>
	<description><![CDATA[<p><span>GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).</span><br><br><span>For more information about IGB, visit&nbsp;</span><a href="http://bioviz.org/" target="_blank">http://bioviz.org<span></span></a><span>.</span><br><br><span>Source code for the project was hosted here for many years. In 2014, we moved to a new git repository at&nbsp;</span><a href="http://www.bitbucket.org/lorainelab/integrated-genome-browser" target="_blank">http://www.bitbucket.org/lorainelab/integrated-genome-browser<span></span></a><span>. We are still using SourceForge to distribute new releases of IGB as compiled code (igb.zip) you can use to run IGB on your computer.&nbsp;</span><br><br><span>If you have questions, feel free to get in touch. Contact project head Ann Loraine (</span><a href="mailto:aloraine@uncc.edu" target="_blank">aloraine@uncc.edu<span></span></a><span>) or lead developer David Norris (</span><a href="mailto:dcnorris@uncc.edu" target="_blank">dcnorris@uncc.edu<span></span></a><span>&gt;).</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/genoviz/" rel="nofollow">https://sourceforge.net/projects/genoviz/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40476/libsdyogen-libibrary-for-comparative-genomics</guid>
	<pubDate>Wed, 25 Dec 2019 01:32:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40476/libsdyogen-libibrary-for-comparative-genomics</link>
	<title><![CDATA[LibsDyogen: Libibrary for comparative genomics]]></title>
	<description><![CDATA[<p>Library of usual classes and functions written in python and used in the Dyogen team for comparative genomics applications.</p>
<p>Collaborative python library used in the<span>&nbsp;</span><a href="http://www.ibens.ens.fr/?rubrique43&amp;lang=fr">DYOGEN team</a>for studying the evolution of gene order in vertebrates.</p>
<p><a href="http://www.ibens.ens.fr/?rubrique43&amp;lang=fr">http://www.ibens.ens.fr/?rubrique43&amp;lang=fr</a></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/DyogenIBENS/LibsDyogen" rel="nofollow">https://github.com/DyogenIBENS/LibsDyogen</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42143/sibelia-a-comparative-genomics-tool</guid>
	<pubDate>Sat, 22 Aug 2020 02:49:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42143/sibelia-a-comparative-genomics-tool</link>
	<title><![CDATA[Sibelia: A comparative genomics tool]]></title>
	<description><![CDATA[<p><strong>Sibelia</strong>: A comparative genomics tool: It assists biologists in analysing the genomic variations that correlate with pathogens, or the genomic changes that help microorganisms adapt in different environments. Sibelia will also be helpful for the evolutionary and genome rearrangement studies for multiple strains of microorganisms.&nbsp;</p>
<p><strong>Sibelia</strong>&nbsp;is useful in finding: (1) shared regions, (2) regions that present in one group of genomes but not in others, (3) rearrangements that transform one genome to other genomes.</p>
<p>More at&nbsp;<a href="http://bioinf.spbau.ru/sibelia">http://bioinf.spbau.ru/sibelia</a></p>
<p>Sibelia docs&nbsp;<a href="http://gensoft.pasteur.fr/docs/Sibelia/3.0.7/SIBELIA.md">http://gensoft.pasteur.fr/docs/Sibelia/3.0.7/SIBELIA.md</a></p><p>Address of the bookmark: <a href="https://github.com/bioinf/Sibelia" rel="nofollow">https://github.com/bioinf/Sibelia</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43046/postdoctoral-fellow-for-a-large-scale-microbial-comparative-genomics</guid>
  <pubDate>Thu, 29 Apr 2021 08:44:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[postdoctoral fellow for a large-scale microbial comparative genomics !]]></title>
  <description><![CDATA[
<p>Asaf Levy hiring a postdoctoral fellow for a large-scale microbial comparative genomics project at the Hebrew University of Jerusalem (Israel). <br />The project is a continuation of Levy Asaf et al. Nature Genetics 2018 paper.<br />Requirements: <br />1.Experience with programming in at least one programming language, preferably Python.<br />2.A PhD in bioinformatics/computational biology<br />3.At least one first authorship publication in a good journal, preferably more.<br />4.Good communication skills in English <br />5.Ability to enter and study in Israel (not applicable for Pakistani people, for example). <br />6.Ability to work in a team.<br />Please send CV to alevy@mail.huji.ac.il</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44400/pevzner-lab</guid>
  <pubDate>Thu, 02 Nov 2023 05:39:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pevzner Lab !]]></title>
  <description><![CDATA[
<p>The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond the reach of previous techniques.</p>

<p>https://bioalgorithms.ucsd.edu/research4.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34049/libsvm-a-library-for-support-vector-machines</guid>
	<pubDate>Wed, 02 Aug 2017 06:49:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34049/libsvm-a-library-for-support-vector-machines</link>
	<title><![CDATA[LIBSVM -- A Library for Support Vector Machines]]></title>
	<description><![CDATA[<p><strong>LIBSVM&nbsp;</strong>is an integrated software for support vector classification, (C-SVC,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#nuandone">nu-SVC</a>), regression (epsilon-SVR,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#nuandone">nu-SVR</a>) and distribution estimation (<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#nuandone">one-class SVM</a>). It supports multi-class classification.</p>
<p>Since version 2.8, it implements an SMO-type algorithm proposed in this paper:<br>R.-E. Fan, P.-H. Chen, and C.-J. Lin.&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf">Working set selection using second order information for training SVM</a>. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. (<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f203">how to cite LIBSVM</a>)</p>
<p><span style="color: #ff0000;">Our goal is to help users from other fields to easily use SVM as a tool.&nbsp;</span><strong>LIBSVM&nbsp;</strong>provides a simple interface where users can easily link it with their own programs. Main features of&nbsp;<strong>LIBSVM</strong>&nbsp;include</p>
<ul>
<li>Different SVM formulations</li>
<li>Efficient multi-class classification</li>
<li>Cross validation for model selection</li>
<li>Probability estimates</li>
<li>Various kernels (including precomputed kernel matrix)</li>
<li>Weighted SVM for unbalanced data</li>
<li>Both C++ and&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#java">Java</a>&nbsp;sources</li>
<li><a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#GUI">GUI</a>&nbsp;demonstrating SVM classification and regression</li>
<li><a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#python">Python</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#R">R</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab">MATLAB</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#perl">Perl</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#ruby">Ruby</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#weka">Weka</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#lisp">Common LISP</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#clisp">CLISP</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#haskell">Haskell</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#ocaml">OCaml</a>,&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#labview">LabVIEW</a>, and&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#PHP">PHP</a>&nbsp;interfaces.&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#csharp">C# .NET</a>&nbsp;code and&nbsp;<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/#cuda">CUDA</a>&nbsp;extension is available.&nbsp;<br>It's also included in some data mining environments:&nbsp;<a href="http://rapid-i.com/">RapidMiner</a>,&nbsp;<a href="http://pcp.sourceforge.net/">PCP</a>, and&nbsp;<a href="http://lionoso.org/">LIONsolver</a>.</li>
<li>Automatic model selection which can generate contour of cross validation accuracy.</li>
<li></li>
</ul>
<p>https://www.csie.ntu.edu.tw/~cjlin/libsvm/</p><p>Address of the bookmark: <a href="https://www.csie.ntu.edu.tw/~cjlin/libsvm/" rel="nofollow">https://www.csie.ntu.edu.tw/~cjlin/libsvm/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37529/bokeh-an-interactive-visualization-library-that-targets-modern-web-browsers-for-presentation</guid>
	<pubDate>Fri, 10 Aug 2018 18:43:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37529/bokeh-an-interactive-visualization-library-that-targets-modern-web-browsers-for-presentation</link>
	<title><![CDATA[Bokeh: An interactive visualization library that targets modern web browsers for presentation]]></title>
	<description><![CDATA[<p id="about">Bokeh is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.</p>
<p>To get started using Bokeh to make your visualizations, see the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/user_guide.html#userguide">User Guide</a>.</p>
<p>To see examples of how you might use Bokeh with your own data, check out the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/gallery.html#gallery">Gallery</a>.</p>
<p>A complete API reference of Bokeh is at&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/reference.html#refguide">Reference Guide</a>.</p>
<p>If you are interested in contributing to Bokeh, or extending the library, see the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/dev_guide.html#devguide">Developer Guide</a>.</p><p>Address of the bookmark: <a href="https://bokeh.pydata.org/en/latest/" rel="nofollow">https://bokeh.pydata.org/en/latest/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/19838</guid>
	<pubDate>Sat, 27 Dec 2014 13:30:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/view/19838</link>
	<title><![CDATA[Interview with a bioinformatician series ...]]></title>
	<description><![CDATA[<p>The aim of this series to interviews some notable bioinformaticians to get their views on various aspects of bioinformatics research. Hopefully these answers will prove useful to others in the field, especially to those who are just starting their bioinformatics careers.<br /><br />This series will be available at BOL every fortnight.<br /><br /><br /><br /></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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