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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/933?offset=50</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced</guid>
	<pubDate>Tue, 03 Sep 2013 16:32:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced</link>
	<title><![CDATA[Barber pole worm , sheep pathogen sequenced !!!]]></title>
	<description><![CDATA[<p>Haemonchus contortus is a highly pathogenic parasitic nematode of that can infect a large number of wild and domesticated ruminant species and is the most economically important parasite of sheep and goats worldwide. Scientists at the Wellcome Trust Sanger Institute have sequenced the genome of the barber's pole worm (Haemonchus contortus), which will help to explore the this tropical parasite which&nbsp;been disseminated around the world by livestock movement.&nbsp;</p><p>H. contortus is a member of the superfamily trichostrongyloidea (Strongylida) which contains most of the economically important parasitic nematodes of grazing livestock. These parasites cost the global livestock industry billions of dollars per annum in lost production and drug costs.&nbsp;A common type of clover may be a preventative or palliative for the disease. However, some particular breeds of sheep, such as the Gulf Coast Native from the Southern United States, have been shown to have developed special resistance to H. contortus.</p><p>Getting the full genome can help to tackle the problem and understand the resistance mechanism with an ease. Moreover, the genome could now provide a comprehensive understanding of how treatments against parasitic worms work and point to further new treatments and vaccines.&nbsp;By comparing the genome of the barber's pole worm with those of worms that have acquired drug resistance, researchers expect to reveal information about how and why resistance has occurred. Till now, researchers have uncovered essential information in the fight against drug resistance in worms.</p><p>Reference:</p><p><a href="http://www.fwi.co.uk/articles/28/08/2013/140758/researchers-close-in-on-worm-resistance-in-sheep.htm">http://www.fwi.co.uk/articles/28/08/2013/140758/researchers-close-in-on-worm-resistance-in-sheep.htm</a></p><p><a href="http://www.sciencedaily.com/releases/2013/08/130828103351.htm?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+sciencedaily%2Fplants_animals+(ScienceDaily%3A+Plants+%26+Animals+News)">http://www.sciencedaily.com/releases/2013/08/130828103351.htm?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+sciencedaily%2Fplants_animals+(ScienceDaily%3A+Plants+%26+Animals+News)</a></p><p>Image source: Wikipedia</p><p><img src="http://upload.wikimedia.org/wikipedia/commons/8/8e/Haemonchus_contortus.jpg" alt="image" width="800" height="533" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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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>
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	<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>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/13267/the-genome-10k-project</guid>
	<pubDate>Tue, 29 Jul 2014 09:11:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/13267/the-genome-10k-project</link>
	<title><![CDATA[The Genome 10K Project]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/B57xDIGtCT0" frameborder="0" allowfullscreen></iframe>https://genome10k.soe.ucsc.edu

The Genome 10K project aims to assemble a genomic zoo—a collection of DNA sequences representing the genomes of 10,000 vertebrate species, approximately one for every vertebrate genus. The trajectory of cost reduction in DNA sequencing suggests that this project will be feasible within a few years. Capturing the genetic diversity of vertebrate species would create an unprecedented resource for the life sciences and for worldwide conservation efforts.

The growing Genome 10K Community of Scientists (G10KCOS), made up of leading scientists representing major zoos, museums, research centers, and universities around the world, is dedicated to coordinating efforts in tissue specimen collection that will lay the groundwork for a large-scale sequencing and analysis project.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</guid>
	<pubDate>Mon, 06 Jul 2015 08:46:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</link>
	<title><![CDATA[GraphMap - A highly sensitive and accurate mapper for long, error-prone reads]]></title>
	<description><![CDATA[<p>GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.<br>It is&nbsp;<strong>designed to handle Oxford Nanopore MinION 1d and 2d reads</strong>&nbsp;with very high sensitivity and accuracy, and also presents a significant improvement over the state-of-the-art for PacBio read mappers.</p>
<p>GraphMap was also designed for ease-of-use: the&nbsp;<strong>default parameters</strong>&nbsp;can handle a wide range of read lengths and error profiles, including:&nbsp;<em>Illumina</em>,&nbsp;<em>PacBio</em>&nbsp;and&nbsp;<em>Oxford Nanopore</em>.<br>This is an especially important feature for technologies where the error rates and error profiles can vary widely across, or even within, sequencing runs.</p>
<p><a href="http://biorxiv.org/content/early/2015/06/10/020719">http://biorxiv.org/content/early/2015/06/10/020719</a></p><p>Address of the bookmark: <a href="https://github.com/isovic/graphmap" rel="nofollow">https://github.com/isovic/graphmap</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</guid>
	<pubDate>Wed, 15 Jun 2016 18:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</link>
	<title><![CDATA[CovCal: Coverage / Read Count Calculator]]></title>
	<description><![CDATA[<h2>Coverage / Read Count Calculator</h2>
<h4>Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).</h4>
<p><span>Instructions:</span> set the read length/configuration and genome size, then select what you want to calculate.</p>
<p>Written by <a href="http://stephenturner.us/" target="blank">Stephen Turner</a>, based on the <a href="http://www.ncbi.nlm.nih.gov/pubmed/3294162" target="_blank">Lander-Waterman formula</a>, inspired by <a href="http://core-genomics.blogspot.com/2016/05/how-many-reads-to-sequence-genome.html" target="_blank">a similar calculator</a> written by James Hadfield. Coverage is calculated as <em>C=LN/G</em> and reads as <em>N=CG/L</em> where <em>C</em> = Coverage (X),<em>L</em> = Read length (bp), <em>G</em> = Haploid genome size (bp), and <em>N</em> = Number of reads. Source code <a href="https://github.com/stephenturner/covcalc" target="_blank">on GitHub</a>.</p><p>Address of the bookmark: <a href="http://apps.bioconnector.virginia.edu/covcalc/" rel="nofollow">http://apps.bioconnector.virginia.edu/covcalc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</guid>
	<pubDate>Tue, 23 May 2017 05:28:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</link>
	<title><![CDATA[SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology]]></title>
	<description><![CDATA[<p><span>SIMBA</span><span>, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS) platforms quickly, easily and effectively. SIMBA also is open source tool, i.e., can be freely downloaded, shared and modified.</span></p>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1344-7</p><p>Address of the bookmark: <a href="http://ufmg-simba.sourceforge.net/" rel="nofollow">http://ufmg-simba.sourceforge.net/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35055/jabba-hybrid-error-correction-for-long-sequencing-reads</guid>
	<pubDate>Fri, 05 Jan 2018 03:58:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35055/jabba-hybrid-error-correction-for-long-sequencing-reads</link>
	<title><![CDATA[Jabba: Hybrid Error Correction for Long Sequencing Reads]]></title>
	<description><![CDATA[<p>Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data.</p>
<p>Input</p>
<p>Jabba takes as input a concatenated de Bruijn graph and a set of sequences:</p>
<p>the de Bruijn graph should appear in fasta format with 1 entry per node, the meta information should be in the format:<br>&gt;NODE <br>the set of sequences should be in fasta or fastq format. These sequences will be corrected (e.g. PacBio reads). The corrections will be written to a file Jabba fasta.<br>The output is a file in fasta format with corrections of the long reads, and additionally a file in the input format containing uncorrected reads.</p>
<p>https://github.com/biointec/jabba/wiki</p>
<p>https://almob.biomedcentral.com/articles/10.1186/s13015-016-0075-7</p><p>Address of the bookmark: <a href="https://github.com/biointec/jabba" rel="nofollow">https://github.com/biointec/jabba</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40770/scientist-bioinformatics-positions</guid>
  <pubDate>Thu, 30 Jan 2020 06:53:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist Bioinformatics Positions]]></title>
  <description><![CDATA[
<p>Bioinformatics-Multi_Omics_Integration</p>

<p>https://www.researchgate.net/job/939073_Senior_Scientist_Bioinformatics-Multi_Omics_Integration</p>

<p> <br />Senior_Scientist_Bioinformatics-Transcriptomics_Analysis     </p>

<p>https://www.researchgate.net/job/939075_Senior_Scientist_Bioinformatics-Transcriptomics_Analysis-Belgium_France_Switzerland_The_Netherlands</p>

<p>Senior Scientist Bioinformatics - Network Analytics</p>

<p>https://www.researchgate.net/job/939070_Senior_Scientist_Bioinformatics-Network_Analytics_Belgium_France_Switzerland_the_Netherlands</p>

<p>Team Leader Bioinformatics Data Sciences - Mechelen, Belgium</p>

<p>https://www.researchgate.net/job/938787_Team_Leader_Bioinformatics_Data_Sciences-Mechelen_Belgium</p>
]]></description>
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