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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36927?offset=60</link>
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	<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/36644/tacoa-taxonomic-classification-of-environmental-genomic-fragments-using-a-kernelized-nearest-neighbor-approach</guid>
	<pubDate>Tue, 15 May 2018 09:52:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36644/tacoa-taxonomic-classification-of-environmental-genomic-fragments-using-a-kernelized-nearest-neighbor-approach</link>
	<title><![CDATA[TACOA: Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach]]></title>
	<description><![CDATA[TACOA is a software that can accurately predict the taxonomic origin of genomic fragments from metagenomic data sets by combining the advantages of the k -NN approach with a smoothing kernel function. 

TACOA can be easily installed and run on a desktop computer, therefore allowing researchers to locally analyze their metagenomic sequence data or integrate it into their pipelines.<p>Address of the bookmark: <a href="http://www.cebitec.uni-bielefeld.de/index.php/2-uncategorised/99-tacoa" rel="nofollow">http://www.cebitec.uni-bielefeld.de/index.php/2-uncategorised/99-tacoa</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</guid>
	<pubDate>Thu, 01 Nov 2018 12:35:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</link>
	<title><![CDATA[swgis v2.0 : a seqword genomic island sniffer]]></title>
	<description><![CDATA[<p><strong>swgis v2.0</strong>&nbsp;is the modified version of the seqword genomic island sniffer. this version is specifically optimized for predicting genomic islands in eukaryotic genomes. swgis v2.0 was tested on several eukaryotic species of different lineages. all identified genomic islands were deposited in the&nbsp;<a href="http://eugi.bi.up.ac.za/" title="Go to EuGI database">eugi database</a>.</p>
<p><a href="http://eugi.bi.up.ac.za/download_swgis/swgisv2.0.zip" title="Download SWGIS v2.0">download swgis v2.0</a></p><p>Address of the bookmark: <a href="http://eugi.bi.up.ac.za/eugi_download_swgis.php" rel="nofollow">http://eugi.bi.up.ac.za/eugi_download_swgis.php</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38682/bourque-lab</guid>
  <pubDate>Mon, 14 Jan 2019 15:39:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bourque Lab]]></title>
  <description><![CDATA[
<p>The goal of the lab is to understand mammalian genomes using comparative genomic and epigenomic analyses. Areas of interest include: the evolution of regulatory sequences, the role of transposable elements in gene regulation and the impact of genome rearrangements in evolution and cancer.</p>

<p>As a computational genomicists our work involves examining billions of DNA base pairs and interpreting how variation impacts basic biology and disease. We develop computational methods and resources for the functional annotation of genomes with a special emphasis on sequencing-based assays (e.g. ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, single-cell analysis).</p>

<p>http://www.computationalgenomics.ca</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41405/sequence-tube-maps-displays-multiple-genomic-sequences-in-the-form-of-a-tube-map</guid>
	<pubDate>Wed, 11 Mar 2020 01:12:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41405/sequence-tube-maps-displays-multiple-genomic-sequences-in-the-form-of-a-tube-map</link>
	<title><![CDATA[Sequence Tube Maps: displays multiple genomic sequences in the form of a tube map]]></title>
	<description><![CDATA[<p>A JavaScript module for the visualization of genomic sequence graphs. It automatically generates a "tube map"-like visualization of sequence graphs which have been created with <a href="https://github.com/vgteam/vg">vg</a>. (<a href="https://github.com/vgteam/vg">https://github.com/vgteam/vg</a>)</p>
<h3>Link to working demo: <a href="https://vgteam.github.io/sequenceTubeMap/">https://vgteam.github.io/sequenceTubeMap/</a></h3>
<p><img src="https://raw.githubusercontent.com/vgteam/sequenceTubeMap/master/images/header.png" alt="image" style="border: 0px; border: 0px;"></p><p>Address of the bookmark: <a href="https://github.com/vgteam/sequenceTubeMap" rel="nofollow">https://github.com/vgteam/sequenceTubeMap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</guid>
	<pubDate>Sat, 06 Jul 2024 04:24:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</link>
	<title><![CDATA[sourmash: Quickly search, compare, and analyze genomic and metagenomic data sets.]]></title>
	<description><![CDATA[<p dir="auto">sourmash is a k-mer analysis multitool, and we aim to provide stable, robust programmatic and command-line APIs for a variety of sequence comparisons. Some of our special sauce includes:</p>
<ul dir="auto">
<li><code>FracMinHash</code>&nbsp;sketching, which enables accurate comparisons (including ANI) between data sets of different sizes</li>
<li><code>sourmash gather</code>, a combinatorial k-mer approach for more accurate metagenomic profiling</li>
</ul>
<p dir="auto">Please see the&nbsp;<a href="https://sourmash.readthedocs.io/en/latest/publications.html#sourmash-fundamentals">sourmash publications</a>&nbsp;for details.</p>
<p dir="auto">The name is a riff off of&nbsp;<a href="https://github.com/marbl/Mash">Mash</a>, combined with @ctb's love of whiskey. (<a href="https://en.wikipedia.org/wiki/Sour_mash">Sour mash</a>&nbsp;is used in making whiskey.)</p>
<p dir="auto">Maintainers:&nbsp;<a href="mailto:titus@idyll.org">C. Titus Brown</a>&nbsp;(<a href="http://github.com/ctb">@ctb</a>),&nbsp;<a href="mailto:luiz@sourmash.bio">Luiz C. Irber, Jr</a>&nbsp;(<a href="http://github.com/luizirber">@luizirber</a>), and&nbsp;<a href="mailto:tessa@sourmash.bio">N. Tessa Pierce-Ward</a>&nbsp;(<a href="http://github.com/bluegenes">@bluegenes</a>).</p>
<p dir="auto">sourmash was initially developed by the&nbsp;<a href="http://ivory.idyll.org/lab/">Lab for Data-Intensive Biology</a>&nbsp;at the&nbsp;<a href="http://www.vetmed.ucdavis.edu/">UC Davis School of Veterinary Medicine</a>, and now includes contributions from the global research and developer community.</p><p>Address of the bookmark: <a href="https://github.com/sourmash-bio/sourmash" rel="nofollow">https://github.com/sourmash-bio/sourmash</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44894/dna2bit-an-ultra-fast-and-accurate-genomic-distance-estimation-software</guid>
	<pubDate>Sun, 31 Aug 2025 06:24:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44894/dna2bit-an-ultra-fast-and-accurate-genomic-distance-estimation-software</link>
	<title><![CDATA[dna2bit: an ultra-fast and accurate genomic distance estimation software]]></title>
	<description><![CDATA[<p><span>dna2bit is a software tool developed in C++11, leveraging the capabilities of OpenMP for parallel computing and the popcount technique for efficient bit manipulation. It has been thoroughly tested using the g++ and clang compilers on both Linux and MacOS platforms.</span></p><p>Address of the bookmark: <a href="https://github.com/lijuzeng/dna2bit" rel="nofollow">https://github.com/lijuzeng/dna2bit</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</guid>
	<pubDate>Thu, 11 Jul 2013 09:49:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</link>
	<title><![CDATA[Bioinformatics: Introduction to PERL]]></title>
	<description><![CDATA[<p>This course is aimed at those new to programming and provides an introduction to programming using <strong>Perl</strong>. By the end of this course, attendees should be able to write simple <strong>Perl</strong> programs and to understand more complex <strong>Perl</strong> programs written by others. The course will be taught using the online <a href="http://sofiarobb.com/learning-perl-toc/" title="http://sofiarobb.com/learning-perl-toc/">Learning Perl</a> materials created by <a href="http://stajich.bioinformatics.ucr.edu/members/sofia-robb" title="http://stajich.bioinformatics.ucr.edu/members/sofia-robb">Sofia Robb</a> of the <a href="http://www.ucr.edu/" title="http://www.ucr.edu/">University of California Riverside</a>. Further information is <a href="http://ruddles.bio.cam.ac.uk/%7Edpjudge/Descriptions/PERL.php" title="http://ruddles.bio.cam.ac.uk/~dpjudge/Descriptions/PERL.php">available</a>.</p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</guid>
	<pubDate>Fri, 09 Aug 2013 05:43:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</link>
	<title><![CDATA[Perl Maven tutorial by Gabor Szabo]]></title>
	<description><![CDATA[<p>I personally reccoment this tutorial for Perl users.</p><p>More detail http://perlmaven.com/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</guid>
	<pubDate>Wed, 14 Aug 2013 15:00:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</link>
	<title><![CDATA[Cava Deployment Tools]]></title>
	<description><![CDATA[<p>Cava Packager allows packaging of applications written in Perl. Packaged applications can be distributed without the need for an installation of Perl on the target machine. Cava Packager is currently distributed under a free to use license.</p>
<p>Supported Perl Versions<br><br>Threaded Perl with a shared libperl&nbsp; 5.8, 5.10, 5.12, 5.14, 5.16<br><br>Supported Operating Systems<br><br>&nbsp;&nbsp;&nbsp; MS Windows XP and later 32 and 64 bit.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 and 64 bit - minimum glibc 2.5, GTK+ 2.10, libstdc++6.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 bit&nbsp; RHEL 3 and 4.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.4 and 10.5 - ppc and i386.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.6, 10.7, 10.8&nbsp; - i386 and x86_64 ( 64 bit for Perl 5.16 only ).</p><p>Address of the bookmark: <a href="http://www.cavapackager.com/" rel="nofollow">http://www.cavapackager.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

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