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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44508?offset=280</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41689/medaka-sequence-correction-provided-by-ont-research</guid>
	<pubDate>Mon, 18 May 2020 16:28:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41689/medaka-sequence-correction-provided-by-ont-research</link>
	<title><![CDATA[medaka: Sequence correction provided by ONT Research]]></title>
	<description><![CDATA[<p><code>medaka</code><span>&nbsp;is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads against a draft assembly. It outperforms graph-based methods operating on basecalled data, and can be competitive with state-of-the-art signal-based methods, whilst being much faster.</span></p><p>Address of the bookmark: <a href="https://github.com/nanoporetech/medaka" rel="nofollow">https://github.com/nanoporetech/medaka</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43995/tools-for-sequence-translation</guid>
	<pubDate>Tue, 08 Nov 2022 03:37:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43995/tools-for-sequence-translation</link>
	<title><![CDATA[Tools for Sequence translation !]]></title>
	<description><![CDATA[<p><span>BOrf</span>&nbsp;-&nbsp;<a href="https://github.com/betsig/borf" target="_blank">https://github.com/betsig/borf</a></p><p><span>CodAn</span>&nbsp;-&nbsp;<a href="https://github.com/pedronachtigall/CodAn" target="_blank">https://github.com/pedronachtigall/CodAn</a></p><p><span>EMBOSS-Sixpack</span>&nbsp;-&nbsp;<a href="https://www.ebi.ac.uk/Tools/st/emboss_sixpack/" target="_blank">https://www.ebi.ac.uk/Tools/st/emboss_sixpack/</a></p><p><span>esl-translate</span>&nbsp;-&nbsp;<a href="http://hmmer.org/" target="_blank">http://hmmer.org/</a>,&nbsp;<a href="https://github.com/EddyRivasLab/easel" target="_blank">https://github.com/EddyRivasLab/easel</a></p><p><span>GeneMarkS-T</span>&nbsp;-&nbsp;<a href="http://exon.gatech.edu/GeneMark/license_download.cgi" target="_blank">http://exon.gatech.edu/GeneMark/license_download.cgi</a></p><p><span>ORFfinder</span>&nbsp;-&nbsp;<a href="https://www.ncbi.nlm.nih.gov/orffinder/" target="_blank">https://www.ncbi.nlm.nih.gov/orffinder/</a>&nbsp;(web server)</p><p><span>PLASS</span>&nbsp;-&nbsp;<a href="https://github.com/soedinglab/plass" target="_blank">https://github.com/soedinglab/plass</a></p><p><span>Prodigal</span>&nbsp;-&nbsp;<a href="https://github.com/hyattpd/Prodigal" target="_blank">https://github.com/hyattpd/Prodigal</a></p><p><span>TransDecoder</span>&nbsp;-&nbsp;<a href="https://github.com/TransDecoder/TransDecoder" target="_blank">https://github.com/TransDecoder/TransDecoder</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/4196/chemical-elements-of-bioinformatics</guid>
	<pubDate>Tue, 03 Sep 2013 16:35:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/4196/chemical-elements-of-bioinformatics</link>
	<title><![CDATA[Chemical Elements of Bioinformatics]]></title>
	<description><![CDATA[<p>You must be familiar with periodic table and colour pattern, but this time you are going to amaze by new elements table by Eagle genomics. Just check it out and have fun :)</p><p><a href="http://elements.eaglegenomics.com/">http://elements.eaglegenomics.com/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</guid>
	<pubDate>Thu, 23 Nov 2017 08:37:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34391/taxoblast-taxoblast-is-a-pipeline-to-identify-contamination-in-genomic-sequence</link>
	<title><![CDATA[Taxoblast : Taxoblast is a pipeline to identify contamination in genomic sequence]]></title>
	<description><![CDATA[<p><span>Modern genome sequencing strategies are highly sensitive to contamination making the detection of foreign DNA sequences an important part of analysis pipelines. Here we use Taxoblast, a simple pipeline with a graphical user interface, for the post-assembly detection of contaminating sequences in the published genome of the kelp&nbsp;</span><em>Saccharina japonica</em><span>. Analyses were based on multiple blastn searches with short sequence fragments. They revealed a number of probable bacterial contaminations as well as hybrid scaffolds that contain both bacterial and algal sequences. This or similar types of analysis, in combination with manual curation, may thus constitute a useful complement to standard bioinformatics analyses prior to submission of genomic data to public repositories. Our analysis pipeline is open-source and freely available at&nbsp;</span><a href="http://sdittami.altervista.org/taxoblast" title="">http://sdittami.altervista.org/taxoblast</a><span>&nbsp;and via SourceForge (</span><a href="https://sourceforge.net/projects/taxoblast" title="">https://sourceforge.net/projects/taxoblast</a><span>).</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/taxoblast/files/" rel="nofollow">https://sourceforge.net/projects/taxoblast/files/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35550/circoletto-visualizing-sequence-similarity-with-circos</guid>
	<pubDate>Fri, 09 Feb 2018 10:23:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35550/circoletto-visualizing-sequence-similarity-with-circos</link>
	<title><![CDATA[Circoletto: visualizing sequence similarity with Circos]]></title>
	<description><![CDATA[<p><span>Circoletto, an online visualization tool based on Circos, which provides a fast, aesthetically pleasing and informative overview of sequence similarity search results.</span></p>
<p>Online version and downloadable software package for offline use (source code in PERL) freely available at&nbsp;<a href="http://bat.ina.certh.gr/tools/circoletto/" target="">http://bat.ina.certh.gr/tools/circoletto/</a></p>
<p><strong>Contact:</strong><a href="mailto:ndarz@certh.gr" target="">ndarz@certh.gr</a></p><p>Address of the bookmark: <a href="http://tools.bat.infspire.org/circoletto/" rel="nofollow">http://tools.bat.infspire.org/circoletto/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38441/genome-sequence-based-sub-species-delineation</guid>
	<pubDate>Wed, 12 Dec 2018 08:31:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38441/genome-sequence-based-sub-species-delineation</link>
	<title><![CDATA[Genome sequence-based (sub-)species delineation.]]></title>
	<description><![CDATA[<p>The GGDC web service reports digital DDH for a universal and accurate delineation of prokaryotic (sub-)species without inheriting the pitfalls of classic DDH, and also calculates differences in genomic G+C content.</p>
<p>http://ggdc.dsmz.de/ggdc_background.php#</p>
<p><small>Genome-to-Genome Distance Calculator 2.1</small></p>
<p>http://ggdc.dsmz.de/ggdc.php</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://ggdc.dsmz.de/" rel="nofollow">http://ggdc.dsmz.de/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</guid>
	<pubDate>Mon, 26 Aug 2019 17:55:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</link>
	<title><![CDATA[Miropeats: discovers regions of sequence similarity amongst any set of DNA sequences]]></title>
	<description><![CDATA[<p><span>Miropeats discovers regions of sequence similarity amongst any set of DNA sequences and then presents this similarity information graphically. Sequence similarity searching is a very general tool that forms the basis of many different biological sequence analyses but it is limited by the verbosity of traditional alignment presentation styles. Miropeats enhances the utility of conventional DNA sequence comparisons when looking at long lengths of sequence similarity by summarizing extensive large scale sequence similarities on a single page of graphics. The latest version of Miropeats can be used as a general pairwise alignment program or in its traditional role sorting out a big mess of overlapping or similar regions.</span></p><p>Address of the bookmark: <a href="http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/" rel="nofollow">http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</guid>
	<pubDate>Fri, 31 Jan 2020 02:36:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</link>
	<title><![CDATA[Complete genome sequence of Wuhan seafood market pneumonia virus is out !]]></title>
	<description><![CDATA[<p>Wuhan-Hu-1 claimed at least 40 lives and infected at least 1300 others in China. Cases are now being reported from Thailand, Singapore, Malaysia, South Korea, Japan, Vietnam, Nepal, France, Australia and even as far as the US.&nbsp;On Jan 10 2020, while news of the first fatality was barely trickling in, the <a href="https://www.ncbi.nlm.nih.gov/nuccore/MN908947">29,903 letters</a> constituting the viral genome from an affected individual in Wuhan had already been elucidated (even though a few corrections were made subsequently). All the viral genome sequences from affected individuals are very very close to each other. Several are identical and none has more than 5 differences (99.983% similarity). This strongly suggests that transmission into humans came from a single pointed source and happened very recently, between Sep-Dec 2019.</p><p>Check out the detail at https://www.ncbi.nlm.nih.gov/nuccore/MN908947</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/41300/china%E2%80%99s-bgi-says-it-can-sequence-a-genome-for-just-100</guid>
	<pubDate>Sat, 29 Feb 2020 04:49:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/41300/china%E2%80%99s-bgi-says-it-can-sequence-a-genome-for-just-100</link>
	<title><![CDATA[China’s BGI says it can sequence a genome for just $100]]></title>
	<description><![CDATA[<p>Using technology originally acquired in the US, the Chinese gene giant BGI Group says it will make genome sequencing cheaper than ever, breaking the $100 barrier for the first time.</p><p>The Shenzhen company says the low cost will be possible with an &ldquo;extreme&rdquo; DNA sequencing system it plans to offer that is capable of decoding the genomes of 100,000 people a year.</p><p>Ref:&nbsp;<a href="https://www.technologyreview.com/s/615289/china-bgi-100-dollar-genome/">https://www.technologyreview.com/s/615289/china-bgi-100-dollar-genome/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43439/mmseqs2-ultra-fast-and-sensitive-sequence-search-and-clustering-suite</guid>
	<pubDate>Wed, 06 Oct 2021 07:01:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43439/mmseqs2-ultra-fast-and-sensitive-sequence-search-and-clustering-suite</link>
	<title><![CDATA[MMseqs2: ultra fast and sensitive sequence search and clustering suite]]></title>
	<description><![CDATA[<p><span>MMseqs2 (Many-against-Many sequence searching) is a software suite to search and cluster huge protein and nucleotide sequence sets. MMseqs2 is open source GPL-licensed software implemented in C++ for Linux, MacOS, and (as beta version, via cygwin) Windows. The software is designed to run on multiple cores and servers and exhibits very good scalability. MMseqs2 can run 10000 times faster than BLAST. At 100 times its speed it achieves almost the same sensitivity. It can perform profile searches with the same sensitivity as PSI-BLAST at over 400 times its speed.</span></p><p>Address of the bookmark: <a href="https://github.com/soedinglab/MMseqs2" rel="nofollow">https://github.com/soedinglab/MMseqs2</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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