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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19555?offset=1420</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10966/genxpro-gmbh</guid>
	<pubDate>Thu, 22 May 2014 07:18:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10966/genxpro-gmbh</link>
	<title><![CDATA[GenXPro GmbH]]></title>
	<description><![CDATA[<p><strong>GenXPro</strong>&nbsp;GMbH is service provider for entire spectrum of nucleotide-based information&nbsp;of any biological sample. By combining intelligent data reduction techniques and&nbsp;latest next generation sequencing technologies, our service portfolio provides most accurate and cost efficient solutions for&nbsp;transcriptomic-, genomic- or epigenomic research.</p><p><span><span><strong><span>GENXPRO GMBH</span>,&nbsp;</strong></span></span><span>ALTENH&Ouml;FERALLEE 3,&nbsp;</span><span>60438 FRANKFURT MAIN,&nbsp;</span><span>GERMANY</span></p><p><span><span><strong>Website</strong></span>:&nbsp;<a href="http://www.genxpro.info/products_and_services/"></a><a href="http://www.genxpro.info/products_and_services/">http://www.genxpro.info/products_and_services/</a></span></p><p><span><strong>PHONE</strong>: +49 (0)69- 95 73 97 10,&nbsp;FAX: +49 (0)69- 95 73 97 06</span></p><p><span>EMAIL: info@genxpro.de</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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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/bookmarks/view/42040/proactiv-estimation-of-promoter-activity-from-rna-seq-data</guid>
	<pubDate>Thu, 13 Aug 2020 10:21:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42040/proactiv-estimation-of-promoter-activity-from-rna-seq-data</link>
	<title><![CDATA[proActiv: Estimation of Promoter Activity from RNA-Seq data]]></title>
	<description><![CDATA[<p>proActiv is an R package that estimates promoter activity from RNA-Seq data. proActiv uses aligned reads and genome annotations as input, and provides absolute and relative promoter activity as output. The package can be used to identify active promoters and alternative promoters, the details of the method are described in&nbsp;<a href="https://github.com/GoekeLab/proActiv#reference">Demircioglu et al</a>.</p>
<p>Additional data on differential promoters in tissues and cancers from TCGA, ICGC, GTEx, and PCAWG can be downloaded here:&nbsp;<a href="https://jglab.org/data-and-software/">https://jglab.org/data-and-software/</a></p><p>Address of the bookmark: <a href="https://github.com/GoekeLab/proActiv" rel="nofollow">https://github.com/GoekeLab/proActiv</a></p>]]></description>
	<dc:creator>BioStar</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/videolist/watch/8481/des-higgins-visualizing-multiple-sequence-alignments</guid>
	<pubDate>Wed, 26 Feb 2014 00:50:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/8481/des-higgins-visualizing-multiple-sequence-alignments</link>
	<title><![CDATA[Des Higgins: Visualizing Multiple Sequence Alignments]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/IQkOK3dsWs4" frameborder="0" allowfullscreen></iframe>Copyright Broad Institute, 2013. All rights reserved.
Des Higgins (http://www.bioinf.ucd.ie) gives a very entertaining introduction to the visualization of multiple sequence alignment, and to his widely-used Clustal tool. He highlights the emerging challenge of managing alignments with a very large number of sequences, and presents several approaches to this challenge, including faster algorithms and abstract views of clusters of alignments. This talk was presented at VIZBI 2011, an international conference series on visualizing biological data (http://www.vizbi.org) funded by NIH & EMBO.

For information about data visualization efforts at the Broad Institute, please visit:
http://www.broadinstitute.org/node/1363/]]></description>
	
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35896/phylographer-graph-visualization-tool</guid>
	<pubDate>Wed, 07 Mar 2018 18:11:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35896/phylographer-graph-visualization-tool</link>
	<title><![CDATA[PhyloGrapher - Graph Visualization Tool]]></title>
	<description><![CDATA[<p><strong>PhyloGrapher</strong><span>&nbsp;is a program designed to visualize and study evolutionary relationships within families of homologous genes or proteins (elements).&nbsp;</span><strong>PhyloGrapher</strong><span>&nbsp;is a drawing tool that generates custom graphs for a given set of elements. In general, it is possible to use&nbsp;</span><strong>PhyloGrapher</strong><span>&nbsp;to visualize any type of relations between elements.&nbsp;</span></p>
<p><span>https://www.youtube.com/watch?v=WgufqYMHCvM</span></p><p>Address of the bookmark: <a href="http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html" rel="nofollow">http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36905/d-genies-a-tool-for-dotplot-large-genomes-in-an-interactive-efficient-and-simple-way</guid>
	<pubDate>Mon, 11 Jun 2018 09:41:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36905/d-genies-a-tool-for-dotplot-large-genomes-in-an-interactive-efficient-and-simple-way</link>
	<title><![CDATA[D-GENIES: A tool for Dotplot large Genomes in an Interactive, Efficient and Simple way]]></title>
	<description><![CDATA[D-GENIES – for Dotplot large Genomes in an Interactive, Efficient and Simple way – is an online tool designed to compare two genomes. It supports large genome and you can interact with the dot plot to improve the visualisation.

We use minimap version 2 to align the two genomes. Then, the PAF file is parsed and plotted into an interactive plot written with d3.js library.

D-Genies also allows to display dot plots from other aligners by uploading their PAF or MAF alignment file.

http://dgenies.toulouse.inra.fr/<p>Address of the bookmark: <a href="http://dgenies.toulouse.inra.fr/" rel="nofollow">http://dgenies.toulouse.inra.fr/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<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/bookmarks/view/38577/genoviz-visualization-software-for-genomics</guid>
	<pubDate>Wed, 02 Jan 2019 04:07:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38577/genoviz-visualization-software-for-genomics</link>
	<title><![CDATA[GenoViz: Visualization software for genomics]]></title>
	<description><![CDATA[<p><span>GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).</span><br><br><span>For more information about IGB, visit&nbsp;</span><a href="http://bioviz.org/" target="_blank">http://bioviz.org<span></span></a><span>.</span><br><br><span>Source code for the project was hosted here for many years. In 2014, we moved to a new git repository at&nbsp;</span><a href="http://www.bitbucket.org/lorainelab/integrated-genome-browser" target="_blank">http://www.bitbucket.org/lorainelab/integrated-genome-browser<span></span></a><span>. We are still using SourceForge to distribute new releases of IGB as compiled code (igb.zip) you can use to run IGB on your computer.&nbsp;</span><br><br><span>If you have questions, feel free to get in touch. Contact project head Ann Loraine (</span><a href="mailto:aloraine@uncc.edu" target="_blank">aloraine@uncc.edu<span></span></a><span>) or lead developer David Norris (</span><a href="mailto:dcnorris@uncc.edu" target="_blank">dcnorris@uncc.edu<span></span></a><span>&gt;).</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/genoviz/" rel="nofollow">https://sourceforge.net/projects/genoviz/</a></p>]]></description>
	<dc:creator>Rahul Nayak</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>
]]></description>
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