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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11249?offset=1420</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough</guid>
	<pubDate>Mon, 02 Sep 2013 10:18:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough</link>
	<title><![CDATA[Two major breakthrough!!]]></title>
	<description><![CDATA[<p>"Scientists in Uruguay in colloboration with European partners sequenced the genome of the high-value Tannat grape, from which "the most healthy of red wines" are fermented.</p><p>A quick, $1 syphilis&nbsp;test in development by researchers from UNU-BIOLAC."</p><p><strong>Source</strong>:</p><p><a href="http://www.sciencedaily.com/releases/2013/09/130902101846.htm">http://www.sciencedaily.com/releases/2013/09/130902101846.htm</a></p><p><a href="http://www.eurekalert.org/pub_releases/2013-09/tca-ssg082613.php">http://www.eurekalert.org/pub_releases/2013-09/tca-ssg082613.php</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced</guid>
	<pubDate>Fri, 21 Mar 2014 13:57:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced</link>
	<title><![CDATA[Largest Genome Sequenced]]></title>
	<description><![CDATA[<p>The enormous size of the <strong>loblolly pine genome</strong> having <strong>22 billion base pairs</strong> compared to only 3 billion in the human genome. In other words, it is&nbsp;<strong>seven times</strong> larger than a human&rsquo;s and also the largest and the most complete&nbsp;<strong>conifer<a href="http://en.wikipedia.org/wiki/Pinophyta" target="_blank"></a></strong>&nbsp;genome ever sequenced.</p>
<p><strong>Related Paper:</strong></p>
<p>http://genomebiology.com/2014/15/3/R59/abstract</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.news.ucdavis.edu/search/news_detail.lasso?id=10859" rel="nofollow">http://www.news.ucdavis.edu/search/news_detail.lasso?id=10859</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10243/new-rna-seq-tool</guid>
	<pubDate>Fri, 25 Apr 2014 10:59:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10243/new-rna-seq-tool</link>
	<title><![CDATA[New RNA Seq tool]]></title>
	<description><![CDATA[<p>"<span>By removing the time-consuming step of read mapping, the authors reported, Sailfish able to provide quantification estimates 20&ndash;30 times faster than current methods without loss of accuracy."</span></p>
<p><span>Tool link:</span></p>
<p><span>http://www.cs.cmu.edu/~ckingsf/software/sailfish/</span></p>
<p><span></span></p><p>Address of the bookmark: <a href="http://www.genengnews.com/gen-news-highlights/lightweight-algorithms-sail-through-rna-sequencing-data/81249765/" rel="nofollow">http://www.genengnews.com/gen-news-highlights/lightweight-algorithms-sail-through-rna-sequencing-data/81249765/</a></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>
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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>
</item>
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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>
</item>
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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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25323/project-fellow-positions-at-csir-ihbt-palampur</guid>
  <pubDate>Tue, 01 Dec 2015 05:45:58 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow Positions at CSIR-IHBT Palampur]]></title>
  <description><![CDATA[
<p>Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the different Sponsored/CSIR Networked Projects on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:</p>

<p>Sponsored/CSIR Networked Project:<br /> (i) Genomics and Informatics Solutions for Integrating Biology (GENESIS)" [BSC-0121] (up to March, 2017).<br />(ii) Profiling and characterization of early phase differential mi-RNA (s) responsible for downstream developmen of insulin resistance in hMSC derived adipocytes. (GAP-0188) [up to 31.03.2018].</p>

<p>Position:       	Project Fellow (2 position)<br />Age :           	28 years as on 18.12.15<br />Salary :        	Rs.12,000/- P.M.<br />			Rs.14,000/- P.M.<br />                	as per the funds provisions in the respective projects.<br />Eligibility Criteria :  1st Class B. Tech. in Bioinformatics/ Computational Biology<br />						OR<br />			M.Sc. in Bioinformatics/ Computational Biology with 55% marks<br />						OR<br />			M.Tech. in Bioinformatics/ Computational Biology with 55% marks<br />						OR<br />			M.Sc. in any field of Life Science with Diploma in Bioinformatics</p>

<p>Selection Procedure : 	Walk In Interview </p>

<p>Date :			18 Dec , 2015<br />Time :			10:00 A.M.<br />Venue : 		CSIR-IHBT Palampur (H.P.)</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2991/illumina-reveals-first-dataset-of-long-reads</guid>
	<pubDate>Fri, 23 Aug 2013 06:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2991/illumina-reveals-first-dataset-of-long-reads</link>
	<title><![CDATA[Illumina reveals first dataset of long reads]]></title>
	<description><![CDATA[<p>With the help of Moleculo technology , acquired by Illumina releases new service for long reads sequencing i.e., &nbsp;<a href="http://www.illumina.com/services/long-read-sequencing-service.ilmn">FastTrack Long Reads</a>.</p><p>Average read length is around<span>&nbsp;8,500 base pairs in release dataset.</span>&nbsp;Best thing about this, there is not much effect on cost and quality of data.</p><p>You can also check following pages for publications on long reads and more:</p><p><a href="http://www.illumina.com/services/long-read-sequencing-service.ilmn">http://www.illumina.com/services/long-read-sequencing-service.ilmn</a></p><p><a href="http://blog.basespace.illumina.com/2013/07/22/first-data-set-from-fasttrack-long-reads-early-access-service/">http://blog.basespace.illumina.com/2013/07/22/first-data-set-from-fasttrack-long-reads-early-access-service/</a></p><p>&nbsp;</p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25866/jrf-bioinformatics-at-national-chemical-laboratory</guid>
  <pubDate>Sun, 03 Jan 2016 05:59:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at National Chemical Laboratory]]></title>
  <description><![CDATA[
<p>Junior Project Fellow Bioinformatics<br />Eligibility : ME/M.Tech, MSc(Bio-Informatics)<br />Location : Pune<br />Last Date : 08 Jan 2016<br />Hiring Process : Written-test, Face to Face Interview<br />National Chemical Laboratory </p>

<p>Junior Project Fellow Jobs opportunity in National Chemical Laboratory on contract basis<br />Project Code : BSC0117  <br />Title of the Project : Plant?Microbe and Soil Interactions (PMSI)  <br />No. of Post : 01<br />Qualification : M.Tech. / M.Sc. in Bioinformatics from a recognized university with minimum of 55% marks (aggregate) and sound Bioinformatics knowledge / experience<br />Desirable : Good knowledge of Linux (command line and GUI) and SQL; Java / Perl / Python / R / Bash programing / scripting; Analysis of NGS data; Protein modeling / docking; Development and maintenance of web &amp; database servers, etc<br />Emoluments : Rs. 16,000/?<br />Age Limit : 28 Years<br />Selection Procedure : Written Test / Interview<br />How to apply<br />Applications neatly typed in the prescribed proforma (enclosed herewith) duly completed and signed together with photo?copies of relevant certificates/ testimonials and photograph should be addressed to : The Head, Biochemical Sciences Division, Attn : Dr. Narendra Kadoo, CSIR?National Chemical Laboratory, Dr. Homi Bhabha Road, Pashan, Pune 411 008, so as to reach on or before 08/01/2016. Please superscribe the envelop “Application for Junior Project Fellow (Project: BSC0117)”.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?</p>
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