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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41459?offset=490</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/7812/bioinformatics-infrastructure-speed-up-indian-agriculture</guid>
	<pubDate>Tue, 07 Jan 2014 12:44:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/7812/bioinformatics-infrastructure-speed-up-indian-agriculture</link>
	<title><![CDATA[Bioinformatics infrastructure speed up Indian agriculture]]></title>
	<description><![CDATA[<p>"<span>Realizing the paradigm shift it can bring about, the government is focusing on increased bioinformatics intervention in agri-sciences. Currently under process, the national grid on bioinformatics is expected make much better sense out of huge genomic" - </span></p><p><span></span><a href="http://www.biospectrumindia.com/biospecindia/features/203849/supercomputing-indian-agriculture-fast-track-mode/page/1">http://www.biospectrumindia.com/biospecindia/features/203849/supercomputing-indian-agriculture-fast-track-mode/page/1</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/10739/science-for-life-laboratory-scilifelab-sweden</guid>
  <pubDate>Sat, 10 May 2014 06:22:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Science for Life Laboratory (SciLifeLab)-Sweden]]></title>
  <description><![CDATA[
<p>Science for Life Laboratory (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource and a collaboration between four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University.</p>

<p>Webpage : https://www.scilifelab.se/about-us/<br />Opportunity: https://www.scilifelab.se/about-us/career/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</guid>
	<pubDate>Fri, 05 Feb 2016 06:43:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</link>
	<title><![CDATA[Webinar on Streamlining large scale analysis using the Strand NGS Pipeline Manager on 24 Feb 2016]]></title>
	<description><![CDATA[<p><a href="http://www.strand-ngs.com/webinar_registration" title="webinar"><strong>Live Webinar on Streamlining large scale NGS data analysis using the Strand NGS Pipeline Manager on 24 Feb 2016</strong></a></p><p><strong>Abstract:</strong> Strand NGS includes comprehensive workflows for DNA-Seq, RNA-Seq, Small RNA-Seq, ChIP-Seq, MeDIP-Seq, and Methyl-Seq analysis. Each workflow includes a quality assessment and filter section, followed by a workflow-specific analysis section. The pipeline functionality in Strand NGS allows users to execute a sequence of analysis steps with specific parameters - all without any manual intervention. This simplifies the analysis in large scale sequencing projects where every sample needs to be processed identically.</p><p>In this webinar we will discuss the pre-packaged pipelines present in Strand NGS. The packaged pipelines have well-chosen default parameters and are suitable for users analyzing data for the first time in the tool. We will also show how advanced users can customize pipelines and share them with other Strand NGS users. Finally, we will show a brief glimpse of an elaborate pipeline that aligns reads, filters poor-quality matches, computes coverage metrics, identifies variants, checks for sample cross-contamination, and emails quality reports - all from within Strand NGS.</p><p><strong>Speaker:</strong> Dr. Vamsi Veeramachaneni, Vice President - Bioinformatics, Strand Life Sciences</p><p><strong>Details:</strong> Session 1: 2:30 PM IST, Session 2 : 10:30 PM IST<br /><strong>Register here:</strong> http://www.strand-ngs.com/webinar_registration</p><h3>&nbsp;</h3>]]></description>
	<dc:creator>Yeshodari</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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43227/project-associate-i-project-associate-ii-senior-project-associate-igib</guid>
  <pubDate>Thu, 05 Aug 2021 16:11:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate-I | Project Associate-II | Senior Project Associate @ IGIB]]></title>
  <description><![CDATA[
<p>Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application. </p>

<p>Project Scientist-I <br />Experimental / Computation analysis experience in highthroughput genomics/ clinical application.</p>

<p>Project Manager <br />Experience in handling large biological projects involving high-throughput genomics/ clinical application.</p>

<p>Scientific Administrative Assistant <br />Lab Work. </p>

<p>More at https://vinodscaria.genomes.in/positionsopen</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</guid>
	<pubDate>Fri, 07 Jul 2017 04:12:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</link>
	<title><![CDATA[Awesome perl frameworks, libraries and software - PART 5]]></title>
	<description><![CDATA[<ul>
<li><a href="https://github.com/robelix/sub2srt">robelix/sub2srt</a>&nbsp;- subtitle converter</li>
<li><a href="https://github.com/reyjrar/graphite-scripts">reyjrar/graphite-scripts</a>&nbsp;- A Collections of Scripts for Working with Graphite</li>
<li><a href="https://github.com/regilero/check_nginx_status">regilero/check_nginx_status</a>&nbsp;- Nagios check for nginx status report</li>
<li><a href="https://github.com/omniti-labs/resmon">omniti-labs/resmon</a>&nbsp;- resmon</li>
<li><a href="https://github.com/motemen/App-htmlcat">motemen/App-htmlcat</a>&nbsp;- redirect stdin to web browser</li>
<li><a href="https://github.com/moose/Moo">moose/Moo</a>&nbsp;- Minimalist Object Orientation (with Moose compatibility)</li>
<li><a href="https://github.com/miyagawa/fastpass">miyagawa/fastpass</a>&nbsp;- Tiny, XS free, standalone and preforking FastCGI daemon for PSGI</li>
<li><a href="https://github.com/miyagawa/Filesys-Notify-Simple">miyagawa/Filesys-Notify-Simple</a>&nbsp;- Simple and dumb file system watcher</li>
<li><a href="https://github.com/mhop/fhem-mirror">mhop/fhem-mirror</a>&nbsp;- Branch 'master' is a read-only-mirror of svn://svn.code.sf.net/p/fhem/code which is updated once a day. On branch 'enocean' I am going to add some Enocean-Devices</li>
<li><a href="https://github.com/lopnor/Plack-App-DAV">lopnor/Plack-App-DAV</a>&nbsp;- simple DAV server for Plack</li>
<li><a href="https://github.com/kazuho/url_compress">kazuho/url_compress</a>&nbsp;- a static PPM-based URL compressor / decompressor</li>
<li><a href="https://github.com/jnthn/6model">jnthn/6model</a>&nbsp;- Just a place that I'm keeping some meta-model prototyping; anything that matters will make it to another repo (e.g. nqp-rx one or Rakudo one) at some point.</li>
<li><a href="https://github.com/jasonhancock/nagios-puppetdb">jasonhancock/nagios-puppetdb</a>&nbsp;- Nagios plugins and pnp4nagios templates related to Puppetlab's PuppetDB project.</li>
<li><a href="https://github.com/goccy/p5-Compiler-Parser">goccy/p5-Compiler-Parser</a>&nbsp;- Create Abstract Syntax Tree for Perl5</li>
<li><a href="https://github.com/cgutteridge/Grinder">cgutteridge/Grinder</a>&nbsp;- Create RDF data from spreadsheets or CSV</li>
<li><a href="https://github.com/c9s/Plack-Middleware-OAuth">c9s/Plack-Middleware-OAuth</a>&nbsp;- Plack Middleware for OAuth1 and OAuth2</li>
<li><a href="https://github.com/bzip2-cuda/bzip2-cuda">bzip2-cuda/bzip2-cuda</a>&nbsp;- Parallel implementation of bzip2 using cuda</li>
<li><a href="https://github.com/alanstevens/ChocoPackages">alanstevens/ChocoPackages</a>&nbsp;- Chocolatey Nuget Packages</li>
<li><a href="https://github.com/SoylentNews/slashcode">SoylentNews/slashcode</a>&nbsp;- The slashcode repository for SoylentNews. The initial code base was uploaded as it appeared on Sourceforge as of the last commit in September 2009</li>
<li><a href="https://github.com/Miserlou/XSS-Harvest">Miserlou/XSS-Harvest</a>&nbsp;- XSS Weaponization</li>
</ul>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</guid>
	<pubDate>Mon, 19 Jun 2017 06:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</link>
	<title><![CDATA[Circular plots in R]]></title>
	<description><![CDATA[<div>
<p><strong>Circular plots</strong>&nbsp;are useful to represent complicated informations. They are used in 2 specific cases: when you have long axis and numerous categories, and when you want to show relationships between elements. The&nbsp;<a href="http://circos.ca/images/samples/" target="_blank">circos gallery</a>&nbsp;displays several examples of circular plots, what gives a nice overview of the possibilities. Circos is the most famous</p>
</div>
<div>
<p>tool to create circular plots. Thanks to&nbsp;<a href="https://www.linkedin.com/in/zuguanggu" target="_blank">Zuguang Gu</a>, the&nbsp;<a href="https://cran.r-project.org/web/packages/circlize/vignettes/circlize.pdf" target="_blank">Circlize library</a>&nbsp;makes the circos functions available in R! It implements low-level graphic functions for adding common graphics in a circular layout. This page aims to learn you how to use the library, so I strongly advise to read the graphics in the proposed order!</p>
<p><img src="http://www.r-graph-gallery.com/wp-content/uploads/2016/03/122_Circlize_package.png" width="480" height="480" alt="image" style="border: 0px;"></p>
</div>
<p>http://www.r-graph-gallery.com/portfolio/circular-plot/</p><p>Address of the bookmark: <a href="http://www.r-graph-gallery.com/portfolio/circular-plot/" rel="nofollow">http://www.r-graph-gallery.com/portfolio/circular-plot/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44288/upset-plots</guid>
	<pubDate>Fri, 24 Mar 2023 22:30:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44288/upset-plots</link>
	<title><![CDATA[Upset plots !]]></title>
	<description><![CDATA[<p>Upset plots are a type of visualization used to analyze the intersection of sets or categories. They are particularly useful for displaying data with multiple categories and analyzing their overlaps.</p>
<p>In an upset plot, each row represents a category or set, and each column represents a data point. The length of the bar for each category indicates the number of data points that belong to that category. The plot also shows the intersections between categories, represented by overlapping bars.</p>
<p>Upset plots are useful for visualizing complex data with multiple categories and intersections, and can help identify patterns and relationships between categories. They are often used in fields such as bioinformatics, where they can be used to analyze gene expression data or to compare the results of different experimental conditions.</p>
<p>https://jokergoo.github.io/ComplexHeatmap-reference/book/upset-plot.html#example-with-the-genomic-regions</p><p>Address of the bookmark: <a href="https://jokergoo.github.io/ComplexHeatmap-reference/book/upset-plot.html#example-with-the-genomic-regions" rel="nofollow">https://jokergoo.github.io/ComplexHeatmap-reference/book/upset-plot.html#example-with-the-genomic-regions</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1467/biopython-cookbook</guid>
	<pubDate>Thu, 08 Aug 2013 06:43:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1467/biopython-cookbook</link>
	<title><![CDATA[BioPython Cookbook]]></title>
	<description><![CDATA[<p>If you are planning to start learning BioPython ( it does not bite but&nbsp;swallow :P just kidding) then this online cookbook will be really helpful for you.</p><p>http://biopython.org/DIST/docs/tutorial/Tutorial.html</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

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