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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41691?offset=500</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6130/rna-bioinformatics-and-high-throughput-analysis-jena</guid>
  <pubDate>Sat, 09 Nov 2013 20:03:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[RNA Bioinformatics and High Throughput Analysis Jena]]></title>
  <description><![CDATA[
<p>Research Topics:</p>

<p>High Throughput Sequencing Analysis<br />Comparative Genomics<br />Identification and Annotation of Non-coding RNAs<br />Bioinformatic Analysis and System Biology of Viruses<br />Coevolution of Proteins and RNAs<br />Algorithmic Bioinformatics<br />Phylogenetic Analysis</p>

<p>http://www.rna.uni-jena.de/index.php</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10093/bio-rad-acquires-gnubio</guid>
	<pubDate>Sat, 19 Apr 2014 10:36:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10093/bio-rad-acquires-gnubio</link>
	<title><![CDATA[Bio-Rad Acquires GnuBIO]]></title>
	<description><![CDATA[<p>http://www.businesswire.com/news/home/20140411005331/en/Bio-Rad-Acquires-GnuBIO-Developer-Droplet-Based-DNA-Sequencing#.U1KXnPm1b8o</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10246/deadly-human-pathogen-cryptococcus-sequenced</guid>
	<pubDate>Fri, 25 Apr 2014 11:02:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10246/deadly-human-pathogen-cryptococcus-sequenced</link>
	<title><![CDATA[Deadly Human Pathogen Cryptococcus  Sequenced]]></title>
	<description><![CDATA[<p><span>"Now, researchers have sequenced the entire genome and all the RNA products of the most important pathogenic lineage of Cryptococcus neoformans, a strain called H99. The results, which appear in&nbsp;</span><em>PLOS Genetics</em><span>, also describe a number of genetic changes that can occur after laboratory handling of H99 that make it more susceptible to stress, hamper its ability to sexually reproduce and render it less virulent."</span></p><p><span><strong>Source</strong>:</span></p><p><span>http://www.biosciencetechnology.com/news/2014/04/deadly-human-pathogen-cryptococcus-fully-sequenced</span></p><p><span><strong>Paper</strong>:</span></p><p><span>http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004292</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<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>
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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>
</item>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</guid>
	<pubDate>Mon, 26 Aug 2019 18:07:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</link>
	<title><![CDATA[LRSDAY: Long-read Sequencing Data Analysis for Yeasts]]></title>
	<description><![CDATA[<p><span>Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding yeast,&nbsp;</span><em>Saccharomyces cerevisiae</em><span>, has many isolates currently being sequenced with long reads.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/yjx1217/LRSDAY" rel="nofollow">https://github.com/yjx1217/LRSDAY</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<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/bookmarks/view/2728/statistics-of-current-sequencing-and-bioinformatics-market</guid>
	<pubDate>Wed, 21 Aug 2013 08:29:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2728/statistics-of-current-sequencing-and-bioinformatics-market</link>
	<title><![CDATA[Statistics of current Sequencing and Bioinformatics market]]></title>
	<description><![CDATA[<p>This survey conducted by&nbsp;<strong>Oxford&nbsp;<a href="http://www.ogt.co.uk/" target="_blank">Gene</a>&nbsp;Technology,</strong>&nbsp;<span>provider of innovative&nbsp;genetics&nbsp;research and&nbsp;biomarker</span>&nbsp;<span>solutions to advance molecular medicine, has released the results from a recent survey of researchers using next generation sequencing. (Source:<a href="http://www.news-medical.net/news/20130821/Oxford-Gene-Technology-releases-next-generation-sequencing-survey-results.aspx">http://www.news-medical.net/news/20130821/Oxford-Gene-Technology-releases-next-generation-sequencing-survey-results.aspx</a>&nbsp;)</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.ogt.com/assets/0000/3190/NGS_Survey_2013_Infographic_Web.pdf" rel="nofollow">http://www.ogt.com/assets/0000/3190/NGS_Survey_2013_Infographic_Web.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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