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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34515?offset=310</link>
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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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<item>
  <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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</guid>
	<pubDate>Sat, 27 Feb 2021 01:18:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</link>
	<title><![CDATA[FiNGS: Filters for Next Generation Sequencing]]></title>
	<description><![CDATA[<h2>Key features</h2>
<ul>
<li><strong>Filters SNVs from any variant caller to remove false positives</strong></li>
<li><strong>Calculates metrics based on BAM files and provides filtering not possible with other tools</strong></li>
<li><strong>Fully user-configurable filtering (including which filters to use and their thresholds)</strong></li>
<li><strong>Option to use filters identical to ICGC recommendations</strong></li>
</ul>
<p>FiNGS provides researchers with a tool to reproducibly filter somatic variants that is simple to both deploy and use, with filters and thresholds that are fully configurable by the user. It ingests and emits standard variant call format (VCF) files and will slot into existing sequencing pipelines. It allows users to develop and implement their own filtering strategies and simple sharing of these with others.</p>
<p>FiNGS reliably improves upon the precision of default variant caller outputs and performs better than other tools designed for the same task.</p><p>Address of the bookmark: <a href="https://github.com/cpwardell/FiNGS" rel="nofollow">https://github.com/cpwardell/FiNGS</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/1897/genetic-test-in-india</guid>
	<pubDate>Sun, 11 Aug 2013 10:54:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/1897/genetic-test-in-india</link>
	<title><![CDATA[Genetic Test in India]]></title>
	<description><![CDATA[<p>1.<strong>Xcode Life Sciences Pvt. Ltd.</strong><br /><span>6B, Eldorado,&nbsp;</span><br /><span>112, Nungambakkam High Road,</span><br /><span>Nungambakkam, Chennai 600034</span><br /><span>Tamil Nadu, India&nbsp;</span></p><p>2.<span><strong>Mapmygenome&trade;</strong><br /></span><span>Royal Demeure,HUDA Techno Enclave,<br />Plot No. 12/2, Sector-1 500 081&nbsp;<br />Madhapur,Hyderabad<br />AP, India</span></p><p>3.<strong>&nbsp;DNA Labs India</strong></p><p><strong><a href="http://www.dnalabsindia.com/lab.php">http://www.dnalabsindia.com/lab.php</a></strong></p><p>&nbsp;</p><p>4.<strong>MedGenome Labs Pvt Ltd</strong><br /><span>(Division of SciGenom Labs Pvt Ltd.)</span><br /><span>Plot no: 43A,SDF, 3rd floor</span><br /><span>A Block,CSEZ, Kakanad, Cochin</span><br /><span>Kerala - 682037&nbsp;</span><br /><span>Phone: 0484 - 2413399</span><br /><span>Fax: 0484 - 2413398</span><br /><span>Email:&nbsp;</span><a href="mailto:info@medgenome.com">info@medgenome.com</a></p><p>5.<strong>Narayana Nethralaya</strong></p><p><span>Narayana Hrudayalaya Campus</span><br /><span>Narayana Health City</span><br /><span># 258/A, Bommasandra, Hosur Road,&nbsp;</span><br /><span>Bangalore - 560 099 - INDIA.</span><br /><span>TEL: +91-80-66660655-0658&nbsp;</span><br /><span>FAX: +91-80-66660650&nbsp;</span><br /><span>Mobile: 9902 821128 (Emergency Only)</span><br /><span>e-mail:&nbsp;</span><a href="mailto:info@narayananethralaya.com">info@narayananethralaya.com</a></p><p>6.<strong>BioAxis DNA Research Centre Private Limited</strong><br />13-51,Sri Lakshmi Nagar colony,<br />Besides Big Bazar, Near Kamineni Hospitals<br />GSI Post BandalGuda (L B Nagar) Hydeabad-500068<br />Andhra Pradesh (<strong>India</strong>).<br />Phone :&nbsp;+91-40-24034503/+91-9246338983</p><p>7.<strong>Gene Guiide</strong></p><p>8th Floor, Embassy Towers, 7 Bungalows Rd, Versova, Andheri West, Mumbai-61&nbsp;<br />&nbsp;09167 117799&nbsp;<br />&nbsp;<a href="mailto:info@geneguiide.com" target="_blank">info@geneguiide.com</a>&nbsp;</p><p>See more at: http://www.geneguiide.com</p><p>8.<strong>INDIAN BIOSCIENCES</strong><br />Regd. Office:<br />G-2 (Ground Floor Rear), Kailash Colony, New Delhi - 110048, India.<br />Phone: +91 (0)11 29236088, Email: info@inbdna.com.</p><p>9.<strong>SRL Limited</strong></p><p>GP-26, MARUTI INDUSTRIAL ESTATE,</p><p>UDYOG VIHAR,SECTOR-18,</p><p>GURGAON - 122015</p><p>Tel: 0124-3001243 / 0124-3001209</p><p><strong>SRL Limited</strong><br />VASANT VIHAR, 8, PALAM MARG,<br />NEW DELHI - 110057<br />Tel: 011 - 4229 5333&nbsp;</p><p><strong>Website:</strong>&nbsp;<a href="http://www.srlworld.com/" target="_blank">http://www.srlworld.com</a><br /><strong>National Customer care number:</strong><br />Call Toll Free : 1800-222-660/1800-102-8282&nbsp;<br /><strong>E-mail id:</strong>&nbsp;<a href="mailto:customercare@srl.in">customercare@srl.in</a></p><p>10.<strong>Tata Memorial Centre</strong>,</p><p>Advanced Centre for Treatment, Research and Education in Cancer</p><p>Kharghar, Navi Mumbai - 410 210, INDIA.</p><p>Tel: +91-22-2740 5000</p><p>Fax: +91-22-2740 5085</p><p>E-mail: mail@actrec.gov.in</p><p style="text-align: center;">&nbsp;</p><p style="text-align: center;"><span style="font-size: large;"><a href="mailto:office@actrec.gov.in"></a></span></p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3030/illuminating-next-generation-sequencing-data-with-go</guid>
	<pubDate>Fri, 23 Aug 2013 07:13:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3030/illuminating-next-generation-sequencing-data-with-go</link>
	<title><![CDATA[Illuminating next generation sequencing data with Go]]></title>
	<description><![CDATA[<p>Another good lecture for Illumina sequencing data analysis from&nbsp;</p>
<p>Dan Kortschak,&nbsp;Bioinformatics Group,&nbsp;School of Molecular and Biomedical Science ,The University of Adelaide</p><p>Address of the bookmark: <a href="http://talks.biogo.googlecode.com/git/illumination/illumination.pdf" rel="nofollow">http://talks.biogo.googlecode.com/git/illumination/illumination.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics</guid>
	<pubDate>Sun, 06 Oct 2013 04:59:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics</link>
	<title><![CDATA[Introduction of Epigenomics]]></title>
	<description><![CDATA[<ul>
<li><a href="http://www.genome.gov/27532724#al-1">What is the epigenome?</a></li>
<li><a href="http://www.genome.gov/27532724#al-2">What does the epigenome do?</a></li>
<li><a href="http://www.genome.gov/27532724#al-3">What makes up the epigenome?</a></li>
<li><a href="http://www.genome.gov/27532724#al-4">Is the epigenome inherited?</a></li>
<li><a href="http://www.genome.gov/27532724#al-5">What is imprinting?</a></li>
<li><a href="http://www.genome.gov/27532724#al-6">Can the epigenome change?</a></li>
<li><a href="http://www.genome.gov/27532724#al-7">What makes the epigenome change?</a></li>
<li><a href="http://www.genome.gov/27532724#al-8">How do changes in the epigenome contribute to cancer?</a></li>
<li><a href="http://www.genome.gov/27532724#al-9">How are researchers exploring the epigenome?</a></li>
</ul><p>Address of the bookmark: <a href="http://www.genome.gov/27532724" rel="nofollow">http://www.genome.gov/27532724</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10379/your-stressdepression-came-from-ancestor</guid>
	<pubDate>Sun, 04 May 2014 18:46:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10379/your-stressdepression-came-from-ancestor</link>
	<title><![CDATA[Your stress/depression came from ancestor]]></title>
	<description><![CDATA[<p>"A study published in&nbsp;<em>Nature Neuroscience</em>&nbsp;finds that stress in early life alters the production of small RNAs, called microRNAs, in the sperm of mice. The mice show depressive behaviours that persist in their progeny."</p><p>Source:</p><p>http://www.nature.com/news/sperm-rna-carries-marks-of-trauma-1.15049</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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