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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44770?offset=430</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9676/bioinformatics-job-in-genotypic-tech-india</guid>
  <pubDate>Mon, 07 Apr 2014 08:20:54 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics job in Genotypic Tech, India]]></title>
  <description><![CDATA[
<p>Genotypic Technology, the first Genomics Company of India is poised to become the next generation life sciences company. We are hiring professionals for our high end Genomics Labs (Molecular Biology/ Microarray/NGS) and Bioinformatics groups.</p>

<p>Apply to Genotypic Technology if you are a PhD in Life Sciences/ Molecular Biology/ Biotechnology/ Human Genetics/ Bioinformatics with minimum 4-5 years post doctoral experience as well as publications in peer reviewed journals.</p>

<p>Source: http://www.genotypic.co.in/Careers/2/Current-Openings.aspx</p>
]]></description>
</item>

<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>
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<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>
</item>
<item>
	<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>
<item>
	<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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</guid>
	<pubDate>Tue, 17 Sep 2024 02:30:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</link>
	<title><![CDATA[LoVis4u: Locus Visualisation tool for comparative genomics]]></title>
	<description><![CDATA[<p dir="auto"><a href="https://github.com/art-egorov/lovis4u/blob/main/docs/img/lovis4u_logo.png" target="_blank"><img src="https://github.com/art-egorov/lovis4u/raw/main/docs/img/lovis4u_logo.png" alt="image" width="300" style="border: 0px; border: 0px;"></a></p>
<div dir="auto">
<h2 dir="auto">Description</h2>
<a href="https://github.com/art-egorov/lovis4u#description"></a></div>
<p dir="auto"><span>LoVis4u</span>&nbsp;is a bioinformatics tool for&nbsp;<span>Lo</span>ci&nbsp;<span>Vis</span>ualisation.</p>
<p dir="auto"><span>LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences.</span></p>
<p dir="auto">https://art-egorov.github.io/lovis4u/</p>
<p dir="auto">&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/art-egorov/lovis4u" rel="nofollow">https://github.com/art-egorov/lovis4u</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39939/automatic-predictive-model-constructor-apmc</guid>
	<pubDate>Mon, 16 Sep 2019 09:43:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39939/automatic-predictive-model-constructor-apmc</link>
	<title><![CDATA[Automatic Predictive Model Constructor - APMC]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>I would like to invite everyone interested in the subject of machine learning in life science, to test <strong>APMC</strong> module,</div><div>it`s a fully automatic tool (created by students) to simply create and develop supervised machine learning models</div><div>for classification and regression purposes. Links to tool, instruction and documentation bellow:</div><div><span style="font-size: 12.8px;"></span></div><ul>
<li><span style="font-size: 12.8px;">APMC:&nbsp;</span><a href="https://gene-calc.pl/apmc?fbclid=IwAR1j51l7qXsL3BuMPb-P5yQhwkmDCiVdoP-qodeCrbu2DbWtxtihRJ0n9-g" target="_blank">https://gene-calc.pl/apmc</a></li>
<li><span>How to use:&nbsp;</span><a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fgene-calc.pl%2Fapmc%2Fhow-to-use%3Ffbclid%3DIwAR3tCwJiegeuVn_ZZ-YPD7lB7UrqGWaab_zItU30MvFKZiuheSEiGUxyZ9Y&amp;h=AT1x8z09NwNUiLjTgNw8Vzg9OLsEjnpHESvjOescfLF-mzjMMqTBnkh5AqHRkOaXwjVHetdQtQO7mgstwke6ivUz-hzT-ifo5TrMBuMm8XMTmvhz7nyDdKmQZ38yyXW942J_47Oj5YxYxWaMDreugIU2ytT2yvxvgKi-FgNo4N7mvYoj_1A5eCuNxHWuGA3voYn0GAWSSR96ZK4gsj3pvqBcCK9Zi2Fo8IoBNK9JZIbtnV9fdvZLMEUryCoWEceZkMX-76jmGinOXss5L3AGp_6oSUr_aFus73B4q5PXMbKubUoU4inr-0kVoO0werx5YNPWdgXtpiyD6TKXQIhI6lDtyi2jx645A5CKqW-nARPqKwa-Iwtt-KGoNyHvcSnhvfLPK9n4Lhs8W6PK9ZeobOqHwm4y1C1my-N4dvlmvGBWTgSj_E31e0GIhYxvI9Uk3nREVnMw3lfD20BTmwL-wfhSidm8Lue_Akn1Flpfcl0jP1DBpkcwJ3OMxDVA82bL4lcsGmyLGedXjrpKAiVGF3R_e57r9EeI5bWyrbYZGTaHJdOGJBQSvplDir_AfH9Pr5NSRVZOStr13e6XxUIXhCiR58Qua_yuQOsNYBKGN5OP7XAL0DeFIKmI" target="_blank">https://gene-calc.pl/apmc/how-to-use</a></li>
<li><span>Documentation:&nbsp;</span><a href="https://gene-calc.pl/apmc/documentation?fbclid=IwAR1_2agQ8vnqDw0DudUI5UJq3_ip0EFwWR3zyccOynaDlbzkfFmYXnPtFXI" target="_blank">https://gene-calc.pl/apmc/documentation</a></li>
</ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>Jan Bińkowski</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>

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