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	<title><![CDATA[BOL: Yeshodari's News]]></title>
	<link>https://bioinformaticsonline.com/news/owner/Yeshodari?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34197/strand-life-sciences-announces-the-release-of-strand-ngs-v31-at-ashg-2017</guid>
	<pubDate>Mon, 23 Oct 2017 02:39:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34197/strand-life-sciences-announces-the-release-of-strand-ngs-v31-at-ashg-2017</link>
	<title><![CDATA[Strand Life Sciences announces the release of Strand NGS v3.1 at ASHG 2017]]></title>
	<description><![CDATA[<h1><a href="http://www.strand-ngs.com/strand-announce-strandngss-v31">Strand Life Sciences announces the release of Strand NGS v3.1 at ASHG 2017</a></h1><p><strong><em>ORLANDO, USA, Oct 17, 2017/ PRNewswire/</em></strong></p><p><em>Strand NGS now supports large scale RNA- and small-RNA-Seq and Unique Molecular Identifiers (UMIs) for DNA-, RNA-, and small-RNA-Seq.</em></p><p>Strand Life Sciences announced the latest version release of its bioinformatics flagship product, Strand NGS, at the Annual Meeting of the American Society of Human Genetics today. Two major themes in Strand NGS v3.1 address recent challenges in next generation sequencing (NGS).</p><p>The first theme is large-scale RNA-Seq data analysis. Current cross-cohort RNA- and small-RNA-Seq studies span tens of replicates and batches across hundreds of samples, sometimes conducted across several different institutions. For such studies, Strand NGS v3.1 includes confounding variable analysis to eliminate technical effects, including batch effects; the t-SNE plot; profile and heat-map plots of gene-body coverage; and several other notable visual enhancements.</p><p>The second new feature is support for Unique Molecular Identifiers, or UMIs, for DNA-, RNA- and small-RNA-Seq. UMI support in Strand NGS is end-to-end, spanning alignment to variant calling in DNA-Seq, and alignment to quantification in RNA- and small-RNA-Seq. The Bioo Scientific, Qiagen, and Rubicon UMI protocols are natively supported, and an intuitive interface allows the specification of custom UMI protocols.</p><p><em>&ldquo;For liquid biopsies and low-grade FFPE samples, UMI support in DNA-Seq enables the detection of somatic variants at low concentrations. In RNA-Seq, large-scale and UMI support can be used in single-cell-based studies that reveal tumor-cell heterogeneity, even at low concentrations&rdquo;, says<strong>&nbsp;Dr. Vamsi Veeramachaneni, Chief Scientific Officer, Strand Life Sciences.</strong></em></p><p><em>&ldquo;At Strand, we are continuously working towards improving the accuracy and efficiency of NGS data analysis. Customers can look forward to Strand NGS becoming available on the cloud in the near future&rdquo;, says&nbsp;<strong>Dr. Ramesh Hariharan, Chief Executive Officer, Strand Life Sciences.</strong></em></p><p>Visit Strand Life Sciences at ASHG booth #1017 to know more about Strand NGS v3.1 and other products and service offerings from Strand Life Sciences. Click here to access detailed agenda and v3.1&nbsp;<a href="http://www.strand-ngs.com/download/releasenotes">release notes</a>.</p><p><strong>About Strand Life Sciences</strong></p><p>Strand Life Sciences is a premier life science informatics innovation company. Founded in 2000, Strand is a leader in technology innovations for healthcare using genomics. By enhancing sequence-based diagnostics and clinical genomic data interpretation using a strong foundation of computational, scientific, and medical expertise, Strand is bringing individualized medicine to the world. To know more, visit&nbsp;<a href="http://www.strandls.com/" title="www.strandls.com">www.strandls.com</a></p>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</guid>
	<pubDate>Tue, 18 Jul 2017 08:21:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</link>
	<title><![CDATA[Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST]]></title>
	<description><![CDATA[<h2><strong><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Free Live Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST</a></strong></h2><h2 id="Next-gen-seq"><em><a href="http://www.strand-ngs.com/webinar_registration">Speaker:</a></em></h2><p><strong>Mario Deng</strong><span>&nbsp;MD FACC FESC</span><br /><span>Professor of Medicine</span><br /><span>Advanced Heart Failure/Mechanical</span><br /><span>Support/Heart Transplant</span><br /><span>David Geffen School of&nbsp;</span><br /><span>Medicine at UCLA</span><br /><span>Ronald Reagan UCLA Medical Center</span></p><h2><em><a href="http://www.strand-ngs.com/webinar_registration">Abstract:</a></em></h2><div id="more-webinar"><p>Strand NGS supports a comprehensive and flexible RNA-Seq data analysis workflow consisting of Alignment, Quality Assessment, Filters, and a range of analysis and visualization options that help in studying a variety of samples and answering long-standing biological questions.</p></div><div><p>In this webinar, Dr. Deng will discuss the analysis of transcriptome, flow cytometry and cytokine data from pre-operative blood samples of advanced heart failure patients undergoing Mechanical Circulatory Support (MCS) surgery. He will discuss in detail the identification of prominent clinical variables, a set of transcriptome biomarkers, and their role in the context of systems biology. Finally, the application of Class Prediction algorithms in Strand NGS for identification of high-risk patients will be illustrated.</p><p>This immunobiology based study highlights the potential of machine learning techniques in clinical risk prediction and patient management, and from a clinician&rsquo; s perspective, the utility of biomarker discovery studies in helping patients make more informed decisions as a step towards personalized precision medicine.</p><p><em><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Register here</a></em></p></div>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/32950/genespring-webinar-uncovering-mechanisms-of-hepatotoxicity-on-14-june-at-8am-pst</guid>
	<pubDate>Tue, 23 May 2017 06:48:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/32950/genespring-webinar-uncovering-mechanisms-of-hepatotoxicity-on-14-june-at-8am-pst</link>
	<title><![CDATA[GeneSpring webinar- Uncovering mechanisms of hepatotoxicity on 14 June at 8AM PST]]></title>
	<description><![CDATA[<p><a href="http://genespring-support.com/content/webinar-uncovering-mechanisms-hepatotoxicity-high-affinity-antisense-oligonucleotides-using-"><strong>Uncovering Mechanisms of Hepatotoxicity for High Affinity Antisense Oligonucleotides &ndash; 3&rsquo; end RNA-seq Profiling Using GeneSpring GX</strong></a></p><p>High affinity antisense oligonucleotides (ASOs) containing bicylic modifications (BNA) such as locked nucleic acid (LNA) or constrained ethyl (cEt) designed to induce target RNA cleavage have been shown to have enhanced potency along with a higher propensity to cause hepatotoxicity. In order to unravel the mechanism of this hepatotoxicity, we leveraged GeneSpring GX analysis software to analyze transcriptional profiles from the livers of mice treated with a panel of highly efficacious hepatotoxic or non-hepatotoxic LNA ASOs.</p><p><a href="http://genespring-support.com/content/webinar-uncovering-mechanisms-hepatotoxicity-high-affinity-antisense-oligonucleotides-using-"><strong>Speaker:</strong></a><br />Sebastien A. Burel, PhD<br />Director, Nonclinical Development, Ionis Pharmaceuticals, California</p><p><a href="http://genespring-support.com/content/webinar-uncovering-mechanisms-hepatotoxicity-high-affinity-antisense-oligonucleotides-using-"><strong>Details:</strong></a><br />14 June 2017, 8 AM PST</p><h3><a href="http://genespring-support.com/content/webinar-uncovering-mechanisms-hepatotoxicity-high-affinity-antisense-oligonucleotides-using-">Register for this Webinar</a></h3>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/32253/webinar-on-fast-and-accurate-dna-variant-calling-on-26-apr-2017</guid>
	<pubDate>Fri, 21 Apr 2017 06:14:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/32253/webinar-on-fast-and-accurate-dna-variant-calling-on-26-apr-2017</link>
	<title><![CDATA[Webinar on Fast and Accurate DNA Variant Calling on 26 Apr 2017]]></title>
	<description><![CDATA[<p>Continuing our&nbsp;<a href="http://www.strand-ngs.com/webinar_registration">DNA-Seq webinar series</a>, we'll present Strand NGS v3.0 best-practices: a workflow that identifies highly accurate variants from raw reads. Our best practices workflow is twice as fast as its GATK counterpart, and results in precision/recall rates of up to 99%/98% on whole exome and whole genome samples. We'll also&nbsp;<a href="http://www.strand-ngs.com/webinar_registration">speak briefly</a>&nbsp;about some of the other features in v3.0 including one-shot pipelines, TSS plots, RNA-Seq performance improvements, and, for the first time, HGVS notations for SNP effect analysis.</p><p>Register here:&nbsp;<a href="http://www.strand-ngs.com/webinar_registration"></a><a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</guid>
	<pubDate>Fri, 05 Feb 2016 06:43:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/26290/webinar-on-streamlining-large-scale-analysis-using-the-strand-ngs-pipeline-manager-on-24-feb-2016</link>
	<title><![CDATA[Webinar on Streamlining large scale analysis using the Strand NGS Pipeline Manager on 24 Feb 2016]]></title>
	<description><![CDATA[<p><a href="http://www.strand-ngs.com/webinar_registration" title="webinar"><strong>Live Webinar on Streamlining large scale NGS data analysis using the Strand NGS Pipeline Manager on 24 Feb 2016</strong></a></p><p><strong>Abstract:</strong> Strand NGS includes comprehensive workflows for DNA-Seq, RNA-Seq, Small RNA-Seq, ChIP-Seq, MeDIP-Seq, and Methyl-Seq analysis. Each workflow includes a quality assessment and filter section, followed by a workflow-specific analysis section. The pipeline functionality in Strand NGS allows users to execute a sequence of analysis steps with specific parameters - all without any manual intervention. This simplifies the analysis in large scale sequencing projects where every sample needs to be processed identically.</p><p>In this webinar we will discuss the pre-packaged pipelines present in Strand NGS. The packaged pipelines have well-chosen default parameters and are suitable for users analyzing data for the first time in the tool. We will also show how advanced users can customize pipelines and share them with other Strand NGS users. Finally, we will show a brief glimpse of an elaborate pipeline that aligns reads, filters poor-quality matches, computes coverage metrics, identifies variants, checks for sample cross-contamination, and emails quality reports - all from within Strand NGS.</p><p><strong>Speaker:</strong> Dr. Vamsi Veeramachaneni, Vice President - Bioinformatics, Strand Life Sciences</p><p><strong>Details:</strong> Session 1: 2:30 PM IST, Session 2 : 10:30 PM IST<br /><strong>Register here:</strong> http://www.strand-ngs.com/webinar_registration</p><h3>&nbsp;</h3>]]></description>
	<dc:creator>Yeshodari</dc:creator>
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