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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41452?offset=370</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy</guid>
	<pubDate>Tue, 26 Nov 2013 17:34:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy</link>
	<title><![CDATA[DNA tale of 3 to 4 years old Serbia boy]]></title>
	<description><![CDATA[<p><span>The genome of a young boy found underground at Mal&rsquo;ta near Lake Baikal of eastern Siberia around 24,000 years ago came out as close relative of Europeans and Native Indians.</span></p><p><span>Link:</span></p><p><span><a href="http://www.nytimes.com/2013/11/21/science/two-surprises-in-dna-of-boy-found-buried-in-siberia.html?_r=0">http://www.nytimes.com/2013/11/21/science/two-surprises-in-dna-of-boy-found-buried-in-siberia.html?_r=0</a></span></p><p>&nbsp;</p><p><a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12736.html">http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12736.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced</guid>
	<pubDate>Fri, 25 Apr 2014 10:36:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced</link>
	<title><![CDATA[Genome of Rainbow Trout Sequenced]]></title>
	<description><![CDATA[<p>Major finding:</p><p><span>&ldquo;In humans and most vertebrates the duplication events were older so there are fewer duplicated genes still present. Most of the duplicated genes get lost or modified so much that they are no longer recognizable as duplicates over time. In the trout and salmon we can see an earlier stage in the process and many duplicated genes are still present,&rdquo; said Dr Gary Thorgaard of Washington State University, a co-author of the paper published in the journal Nature Communications.</span></p><p><span>Source:</span></p><p><span>http://www.sci-news.com/genetics/science-genome-rainbow-trout-01877.html</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10378/real-time-sequencing</guid>
	<pubDate>Sun, 04 May 2014 18:16:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10378/real-time-sequencing</link>
	<title><![CDATA[Real time Sequencing]]></title>
	<description><![CDATA[<p><span>&ldquo;... we now know we can do high-throughput sequencing at any location on Earth,&rdquo; Moroz said.</span></p><p><span>Source:</span></p><p><span>http://news.ufl.edu/2014/04/28/real-time-genome-sequencing-at-sea/</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</guid>
	<pubDate>Mon, 02 Jun 2014 05:46:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</link>
	<title><![CDATA[Drawback of Exome Sequencing]]></title>
	<description><![CDATA[<p><span><span>Dr Eric Londin, Assistant Professor, Thomas Jefferson University, USA, stated that analysis of 44 exome datasets from four different testing kits showed that they missed a high proportion of clinically relevant regions in the 56 ACMG genes. "At least one gene in each exome method was missing more than 40 percent of disease-causing genetic variants, and we found that the worst-performing method missed more than 90 percent of such variants in four of the 56 genes," he says.</span><br /></span></p><p><span><strong>Source</strong>:&nbsp;http://www.eurekalert.org/pub_releases/2014-05/esoh-pco052914.php</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/19560/alien-genome</guid>
	<pubDate>Sat, 13 Dec 2014 00:24:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/19560/alien-genome</link>
	<title><![CDATA[Alien Genome !!!]]></title>
	<description><![CDATA[<p>Genome sequencing, analysis and expression of Alien genome.</p><p>Note: This image/cartoon is create only for fun. It has nothing to do with any scientific findings.</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/19560" length="40389" type="image/jpeg" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</guid>
	<pubDate>Wed, 15 Jun 2016 17:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</link>
	<title><![CDATA[LoRMA: a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines]]></title>
	<description><![CDATA[<p>LoRMA is a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines.</p>
<p>Publication:</p>
<ul>
<li>L. Salmela, R. Walve, E. Rivals, and E. Ukkonen: Accurate selfcorrection of errors in long reads using de Bruijn graphs. Accepted to RECOMB-Seq 2016.</li>
</ul>
<p>Download:</p>
<ul>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/LoRMA-0.3.tar.gz">LoRMA 0.3 source files</a></li>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/README.txt">README</a></li>
</ul><p>Address of the bookmark: <a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/" rel="nofollow">https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</guid>
	<pubDate>Wed, 24 May 2017 08:41:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</link>
	<title><![CDATA[Grinder / Biogrinder - A versatile omics shotgun and amplicon sequencing read simulator]]></title>
	<description><![CDATA[<p><span>Grinder is a versatile program to create random shotgun and amplicon sequence libraries based on DNA, RNA or proteic reference sequences provided in a FASTA file. </span></p>
<p><span>Grinder can produce genomic, metagenomic, transcriptomic, metatranscriptomic, proteomic, metaproteomic shotgun and amplicon datasets from current sequencing technologies such as Sanger, 454, Illumina. These simulated datasets can be used to test the accuracy of bioinformatic tools under specific hypothesis, e.g. with or without sequencing errors, or with low or high community diversity. Grinder may also be used to help decide between alternative sequencing methods for a sequence-based project, e.g. should the library be paired-end or not, how many reads should be sequenced.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/biogrinder/files/biogrinder/" rel="nofollow">https://sourceforge.net/projects/biogrinder/files/biogrinder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/36405/earth-biogenome-project</guid>
	<pubDate>Wed, 25 Apr 2018 07:48:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/36405/earth-biogenome-project</link>
	<title><![CDATA[Earth BioGenome Project]]></title>
	<description><![CDATA[<p><span>The central goal of the Earth BioGenome Project is to understand the evolution and organization of life on our planet by sequencing and functionally annotating the genomes of 1.5 million known species of eukaryotes, a massive group that includes plants, animals, fungi and other organisms whose cells have a nucleus that houses their chromosomal DNA. To date, the genomes of less than 0.2 percent of eukaryotic species have been sequenced.&nbsp;</span></p><p><span>More at&nbsp;https://www.ucdavis.edu/news/earth-biogenome-project-aims-sequence-dna-all-complex-life</span></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</guid>
	<pubDate>Wed, 15 Jun 2022 00:37:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</link>
	<title><![CDATA[Choosing the Right NGS Sequencing Instrument for Your Study]]></title>
	<description><![CDATA[<p>The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you&rsquo;re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our&nbsp;<a href="https://genohub.com/ngs-consultation/"><span>free consultation form</span></a>&nbsp;and we'll get in touch with you to help.</p>
<p>More at&nbsp;https://genohub.com/ngs-instrument-guide/</p><p>Address of the bookmark: <a href="https://genohub.com/ngs-instrument-guide/" rel="nofollow">https://genohub.com/ngs-instrument-guide/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4210/uni-computing-bergen-norway</guid>
  <pubDate>Tue, 03 Sep 2013 18:40:50 -0500</pubDate>
  <link></link>
  <title><![CDATA[Uni Computing Bergen Norway]]></title>
  <description><![CDATA[
<p>Info on Uni Computing (Webpage: http://www.bccs.uni.no/) :</p>

<p>Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen.</p>

<p>5 groups in this lab works on computational resources, methods, algorithms, and software.</p>

<p>Following two bioinformatics groups are:</p>

<p>The Computational Biology Unit (CBU) provides education and research in bioinformatics focused on functional genomics.</p>

<p>The Computational Ecology Unit (CEU) is basically deal with population fluctuations, behavioural patterns and the ways life cycles emerge.</p>
]]></description>
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