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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44783?offset=510</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</guid>
	<pubDate>Wed, 20 Jun 2018 10:15:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</link>
	<title><![CDATA[CGView - Circular Genome Viewer]]></title>
	<description><![CDATA[CGView is a Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web. Feature information and rendering options are supplied to the program using an XML file, a tab delimited file, or an NCBI ptt file. CGView converts the input into a graphical map (PNG, JPG, or Scalable Vector Graphics format), complete with labels, a title, legends, and footnotes. In addition to the default full view map, the program can generate a series of hyperlinked maps showing expanded views. The linked maps can be explored using any web browser, allowing rapid genome browsing, and facilitating data sharing. The feature labels in maps can be hyperlinked to external resources, allowing CGView maps to be integrated with existing web site content or databases. For examples of the various output types, see the CGView gallery.

http://wishart.biology.ualberta.ca/cgview/gallery.html

http://stothard.afns.ualberta.ca/downloads/CCT/index.html

https://www.gview.ca/wiki/GView/WebHome

https://server.gview.ca/

http://stothard.afns.ualberta.ca/cgview_server/

Paper https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx081/4037458<p>Address of the bookmark: <a href="http://wishart.biology.ualberta.ca/cgview/" rel="nofollow">http://wishart.biology.ualberta.ca/cgview/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</guid>
	<pubDate>Sat, 13 Oct 2018 14:17:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</link>
	<title><![CDATA[You can't hide from Genome Hackers]]></title>
	<description><![CDATA[<p><span>Young computational biologist named Yaniv Erlich shocked the research world by showing it was possible to&nbsp;</span><a href="https://www.wired.com/2013/01/your-genome-could-reveal-your-identity/">unmask the identities</a><span>&nbsp;of people listed in anonymous genetic databases using&nbsp;</span><a href="http://science.sciencemag.org/content/339/6117/321" target="_blank">only an Internet connection</a></p><p>Paper: http://science.sciencemag.org/content/early/2018/10/10/science.aau4832</p><p>More at&nbsp;https://www.wired.com/story/genome-hackers-show-no-ones-dna-is-anonymous-anymore/</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</guid>
	<pubDate>Wed, 14 Nov 2018 08:20:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</link>
	<title><![CDATA[pWhatsHap: a parallel, high-performance version of WhatsHap]]></title>
	<description><![CDATA[<div id="ASec4">
<p>Given the potential relevance of efficient haplotyping in several analysis pipelines, we have designed and engineered&nbsp;pWhatsHap, a parallel, high-performance version of&nbsp;WhatsHap.&nbsp;pWhatsHap&nbsp;is embedded in a toolkit developed in Python and supports genomics datasets in standard file formats. Building on&nbsp;WhatsHap,&nbsp;pWhatsHap&nbsp;exhibits the same complexity exploring a number of possible solutions which is exponential in the coverage of the dataset. The parallel implementation on multi-core architectures allows for a relevant reduction of the execution time for haplotyping, while the provided results enjoy the same high accuracy as that provided by&nbsp;WhatsHap, which increases with coverage.</p>
</div>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1170-y</p><p>Address of the bookmark: <a href="https://bitbucket.org/whatshap/whatshap" rel="nofollow">https://bitbucket.org/whatshap/whatshap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38668/gvolante-completeness-assessment-of-genometranscriptome-sequences</guid>
	<pubDate>Sun, 13 Jan 2019 07:03:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38668/gvolante-completeness-assessment-of-genometranscriptome-sequences</link>
	<title><![CDATA[gVolante: Completeness Assessment of Genome/Transcriptome Sequences]]></title>
	<description><![CDATA[<p><span>A brand-new web server, gVolante, which provides an online tool for (i) on-demand completeness assessment of sequence sets by means of the previously developed pipelines CEGMA and BUSCO and (ii) browsing pre-computed completeness scores for publicly available data in its database section</span></p><p>Address of the bookmark: <a href="https://gvolante.riken.jp/analysis.html" rel="nofollow">https://gvolante.riken.jp/analysis.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39217/caulobacter-ethensis-20-computer-generated-genome-of-a-living-organism</guid>
	<pubDate>Wed, 03 Apr 2019 08:45:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39217/caulobacter-ethensis-20-computer-generated-genome-of-a-living-organism</link>
	<title><![CDATA[Caulobacter ethensis - 2.0 : Computer-generated Genome of a Living Organism]]></title>
	<description><![CDATA[<div><span>All the genome sequences of organisms known throughout the world are stored in a database belonging to the National Center for Biotechnology Information in the United States. As of today, the database has an additional entry:&nbsp;<em><strong><span>Caulobacter ethensis</span></strong></em><span><strong><span>-2.0</span></strong>.&nbsp;</span></span></div><div><span><span>&nbsp;</span></span></div><div><span><span>It is the&nbsp;<strong>world's first fully computer-generated genome of a living organism</strong>, developed by scientists at ETH Zurich.&nbsp;</span></span></div><div><span><span>&nbsp;</span></span></div><div><span><span>However, it must be emphasised that although the genome for&nbsp;</span><em>C. ethensis</em>-2.0 was physically produced in the form of a very large DNA molecule, a corresponding organism does not yet exist.</span></div><div><span>&nbsp;</span></div><div><span><strong>Source</strong>:&nbsp;<a href="https://www.sciencedaily.com/releases/2019/04/190401171343.htm?utm_source=feedburner&amp;utm_medium=email&amp;utm_campaign=Feed%3A+sciencedaily%2Fmost_popular+%28Most+Popular+News+--+ScienceDaily%29">https://www.sciencedaily.com/releases/2019/04/190401171343.htm</a></span></div>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39821/gvolante-completeness-assessment-of-genometranscriptome-sequences</guid>
	<pubDate>Tue, 06 Aug 2019 21:37:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39821/gvolante-completeness-assessment-of-genometranscriptome-sequences</link>
	<title><![CDATA[gVolante: Completeness Assessment of Genome/Transcriptome Sequences]]></title>
	<description><![CDATA[<p><strong>gVolante</strong><span>&nbsp;provides an online interface for completeness assessment of user&rsquo;s original or publicly available sequence datasets as well as for browsing results of completeness assessment performed on publicly available genome and transcriptome assemblies.</span></p>
<p><img src="https://gvolante.riken.jp/images/assessment.png" width="937" height="545" alt="image" style="border: 0px;"></p><p>Address of the bookmark: <a href="https://gvolante.riken.jp/" rel="nofollow">https://gvolante.riken.jp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40609/genome-informatics-section-lab</guid>
  <pubDate>Sat, 25 Jan 2020 06:38:23 -0600</pubDate>
  <link></link>
  <title><![CDATA[Genome Informatics Section Lab !]]></title>
  <description><![CDATA[
<p>Our section develops and applies computational methods for the analysis of massive genomics datasets, focusing on the challenges of genome sequencing and comparative genomics. We aim to improve such foundational processes and translate emerging genomic technologies into practice.</p>

<p>The Genome Informatics Section is hiring! Come join our outstanding team at the NIH’s National Human Genome Research Institute and contribute to the development of new reference genomes and computational methods for DNA sequencing and analysis. Both postdoc and PhD students positions are available. More information and application instructions follow below.</p>

<p>More at https://genomeinformatics.github.io/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41691/genobuntu-package-for-next-generation-sequencing-and-genome-assembly</guid>
	<pubDate>Mon, 18 May 2020 16:47:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41691/genobuntu-package-for-next-generation-sequencing-and-genome-assembly</link>
	<title><![CDATA[Genobuntu: Package for Next Generation Sequencing and Genome Assembly]]></title>
	<description><![CDATA[<div>
<p>Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.<br><br>Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one&rsquo;s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build software workstations and it can also act as a good teaching source for a class room setting.<br><br>Therefore, Genobuntu offers a well-tailored environment for both novices and experts working in the field of genome assembly.</p>
</div>
<div>
<h3>Features</h3>
<ul>
<li>Velvet</li>
<li>MiB</li>
<li>SSAKE</li>
<li>EULER</li>
<li>VCAKE</li>
<li>ABySS</li>
<li>ALLPATHS</li>
<li>Celera</li>
<li>SHARCGS</li>
<li>Allpaths</li>
<li>IDBA</li>
<li>TAIPAN</li>
<li>Edena</li>
<li>SOAPdenovo</li>
<li>Maq</li>
<li>IDBA-UD</li>
<li>No. of Reads present in the Ref. Seq.</li>
<li>ART NGS Reads Simulator</li>
<li>HiTEC, FASTQC</li>
<li>Minimum Description Length</li>
<li>SOAPaligner</li>
<li>Sequencing Read Archive Toolkit</li>
</ul>
</div><p>Address of the bookmark: <a href="https://sourceforge.net/projects/genobuntu/" rel="nofollow">https://sourceforge.net/projects/genobuntu/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44366/mitofinder</guid>
	<pubDate>Tue, 29 Aug 2023 02:13:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44366/mitofinder</link>
	<title><![CDATA[MitoFinder]]></title>
	<description><![CDATA[<p dir="auto">Allio, R., Schomaker-Bastos, A., Romiguier, J., Prosdocimi, F., Nabholz, B., &amp; Delsuc, F. (2020) Mol Ecol Resour. 20, 892-905. (<a href="https://doi.org/10.1111/1755-0998.13160">publication link</a>)</p>
<p dir="auto" style="text-align: center;"><a href="https://github.com/RemiAllio/MitoFinder/blob/master/image/logo.png" target="_blank"><img src="https://github.com/RemiAllio/MitoFinder/raw/master/image/logo.png" alt="Drawing" width="250" style="border: 0px;"></a></p>
<p dir="auto"><span>Mitofinder</span>&nbsp;is a pipeline to&nbsp;<span>assemble</span>&nbsp;mitochondrial genomes and&nbsp;<span>annotate</span>&nbsp;mitochondrial genes from trimmed read sequencing data.</p>
<p dir="auto"><span>MitoFinder</span>&nbsp;is also designed to&nbsp;<span>find</span>&nbsp;and&nbsp;<span>annotate</span>&nbsp;mitochondrial sequences in existing genomic assemblies (generated from Hifi/PacBio/Nanopore/Illumina sequencing data...)</p>
<p dir="auto"><span>MitoFinder</span>&nbsp;is distributed under the&nbsp;<a href="https://github.com/RemiAllio/MitoFinder/blob/master/License/LICENSE">license</a>.</p><p>Address of the bookmark: <a href="https://github.com/RemiAllio/MitoFinder" rel="nofollow">https://github.com/RemiAllio/MitoFinder</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43658/uniquekmer-generate-unique-kmers-for-every-contig-in-a-fasta-file</guid>
	<pubDate>Fri, 17 Dec 2021 00:08:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43658/uniquekmer-generate-unique-kmers-for-every-contig-in-a-fasta-file</link>
	<title><![CDATA[UniqueKmer: Generate unique KMERs for every contig in a FASTA file]]></title>
	<description><![CDATA[<p dir="auto">Generate unique k-mers for every contig in a FASTA file.</p>
<p dir="auto">Unique k-mer is consisted of k-mer keys (i.e. ATCGATCCTTAAGG) that are only presented in one contig, but not presented in any other contigs (for both forward and reverse strands).</p>
<p dir="auto">This tool accepts the input of a FASTA file consisting of many contigs, and extract unique k-mers for each contig.</p>
<p dir="auto">The output unique k-mer file and Genome file can be used for fastv:&nbsp;<a href="https://github.com/OpenGene/fastv">https://github.com/OpenGene/fastv</a>, which is an ultra-fast tool to identify and visualize microbial sequences from sequencing data.</p>
<p>https://github.com/OpenGene/UniqueKMER</p><p>Address of the bookmark: <a href="https://github.com/OpenGene/UniqueKMER" rel="nofollow">https://github.com/OpenGene/UniqueKMER</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

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