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	<title><![CDATA[BOL: November 2017]]></title>
	<link>https://bioinformaticsonline.com/news/archive/Strand/1509512400/1512108000?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34334/joint-webinar-by-agilent-technologies-and-strand-life-sciences-on-analysis-of-variants-using-genespring-gx-on-6-dec</guid>
	<pubDate>Wed, 15 Nov 2017 06:57:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34334/joint-webinar-by-agilent-technologies-and-strand-life-sciences-on-analysis-of-variants-using-genespring-gx-on-6-dec</link>
	<title><![CDATA[Joint webinar by Agilent Technologies and Strand Life Sciences on 'Analysis of Variants using GeneSpring GX' on 6 Dec]]></title>
	<description><![CDATA[<p><a href="http://genespring-support.com/support/webinars">Live webinar on Analysis of Variants using GeneSpring GX 14.9 on 6th Dec at 8 AM PST</a><br />Variant analysis workflow in GeneSpring GX is designed for detection, management and analysis of genetic variants such as single nucleotide polymorphisms (SNPs) and InDels. The webinar showcases SNP data analysis from a public repository for identification of germline and somatic mutations. This is a simple workflow for selection of homozygous SNPs from Variant Call Format (VCF) file and for filtering based on heterozygous SNPs, multi-nucleotide polymorphisms (MNPs) and insertion-deletions (InDels). Multi-omic integration of datasets shows related attributes from different datasets in a biologically meaningful way.</p><p><a href="http://genespring-support.com/support/webinars">Speaker:</a> Dr. Dipa Roy Choudhury, Senior Application Scientist, Agilent Technologies Inc.<br /><a href="http://genespring-support.com/support/webinars">Details: </a>December 6, 2017 at 8:00 am PST<br /><a href="http://genespring-support.com/support/webinars">Register for this Webinar</a></p>]]></description>
	<dc:creator>Strand</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34212/webinar-on-unique-molecular-identifier-umi-powered-ultra-sensitive-variant-calling-using-strand-ngs-case-study</guid>
	<pubDate>Tue, 07 Nov 2017 03:55:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34212/webinar-on-unique-molecular-identifier-umi-powered-ultra-sensitive-variant-calling-using-strand-ngs-case-study</link>
	<title><![CDATA[Webinar on Unique Molecular Identifier (UMI)-powered Ultra-sensitive Variant Calling using Strand NGS - Case Study]]></title>
	<description><![CDATA[<h2><a href="http://www.strand-ngs.com/webinar_registration">Webinar on Unique Molecular Identifier-powered Ultra-sensitive Variant Calling using Strand NGS - Case Study</a></h2><p>by&nbsp;Dr. Pandurang Kolekar, Bioinformatics Engineer, Strand Life Sciences</p><h3><a href="http://www.strand-ngs.com/webinar_registration">Abstract</a>:</h3><p>Unique Molecular Identifiers (UMIs) are short random nucleotide sequences that are increasingly being used in high-throughput sequencing experiments. In this webinar, we will highlight the UMI-friendly features of Strand NGS v3.1 including support for handling well known and customised UMI libraries, QC metrics, consensus alignment, UMI-based family size filters for read list, genome browser enabled with UMI-specific features and filters, UMI-aware variant calling parameters, and exporting UMI-tagged aligned samples. These all features together empower users to harness the potential of UMI-tagged NGS data for deeper insights. A case study demonstrating application of these UMI-based features in Strand NGS for low frequency variant calling in cfDNA sample will be presented.</p><p>UMI-tagged NGS libraries allow, ultra-sensitive detection of low frequency variants from liquid biopsy samples using DNA-Seq and accurate quantification of transcript-level expression using RNA-Seq. The recent release of Strand NGS v3.1, is equipped with the necessary features to efficiently analyse UMI-tagged NGS data helping researchers and labs involved in rare variant calling like in cfDNA based cancer diagnostics, and accurate transcript quantification with RNA-Seq.</p><p><a href="http://www.strand-ngs.com/webinar_registration"><strong>Webinar Details:</strong></a></p><p><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 1:</strong></a> 13 Dec 2017, 2:30 PM IST<br /><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 2:</strong></a> 13 Dec 2017, 9:30 PM IST</p><p><br /><a href="http://www.strand-ngs.com/webinar_registration"><strong>Register here:</strong></a> http://www.strand-ngs.com/webinar_registration</p><h3>&nbsp;</h3>]]></description>
	<dc:creator>Strand</dc:creator>
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