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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37223?offset=410</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</guid>
	<pubDate>Mon, 09 Jun 2014 07:58:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</link>
	<title><![CDATA[miRNA database and tools]]></title>
	<description><![CDATA[<p>Since few years miRNA has shown to play important role in therapeutic related research and also known to play vital role in controlling gene expression specifically at transcriptional and post-transcription levels. Here are some important DBs and tools related with miRNA:</p><p><strong>miRNA Sequencing data analysis</strong> :&nbsp;http://tools.genxpro.net/omiras/</p><p><strong>miRNApath( R based tool)&nbsp;</strong>: &nbsp;<a href="http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html">http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html</a></p><p><strong>miRWalk DB</strong> :&nbsp;http://www.umm.uni-heidelberg.de/apps/zmf/mirwalk/</p><p><strong>TargetScanHuman</strong> :&nbsp;http://www.targetscan.org/</p><p><strong>RNAhybrid</strong> :&nbsp;http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/welcome.html</p><p><strong>RNA22 predictor</strong> :&nbsp;http://cbcsrv.watson.ibm.com/rna22.html</p><p><strong>miRNA predictor</strong> :&nbsp;http://www.microrna.org/microrna/home.do</p><p><strong>Plant miRNA DB</strong> :http://bioinformatics.cau.edu.cn/PMRD/</p><p><strong>miRBASE DB</strong>:&nbsp;http://www.mirbase.org/</p><p><strong>Plant RNA predictor</strong> : http://plantgrn.noble.org/psRNATarget/</p><p><strong>miRNA Interaction DB</strong> :&nbsp;http://starbase.sysu.edu.cn/</p><p><strong>Sequencing based miRNA DB</strong> :&nbsp;http://mirgator.kobic.re.kr/</p><p><strong>predicted A-to-I edited miRNA DB </strong>:&nbsp;http://microrna.osumc.edu/mireditar/</p><p><strong>Animal, plant and virus miRNA DB</strong> :&nbsp;http://lemur.amu.edu.pl/share/php/mirnest/</p><p><strong>Atlantic Salmon&nbsp;miRNAs DB </strong>:<strong>&nbsp;</strong>http://www.molgenv.com/ssa_mirnas_db_home.php</p><p><strong>miRNA prediction on UTRs</strong> :&nbsp;http://genie.weizmann.ac.il/pubs/mir07/mir07_prediction.html</p><p><span style="text-decoration: underline;"><strong>Idea of analysing miRNA Sequencing data</strong></span> :</p><p>http://www.illumina.com/applications/epigenetics/small_rna_analysis.ilmn</p><p><strong>More:</strong></p><p><a href="http://www.bioconductor.org/help/search/index.html?q=miRNA+target">http://www.bioconductor.org/help/search/index.html?q=miRNA+target</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23174/scaffolding-of-a-bacterial-genome-using-minion-nanopore-sequencing</guid>
	<pubDate>Tue, 07 Jul 2015 16:59:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23174/scaffolding-of-a-bacterial-genome-using-minion-nanopore-sequencing</link>
	<title><![CDATA[Scaffolding of a bacterial genome using MinION nanopore sequencing]]></title>
	<description><![CDATA[<p><span>Second generation sequencing has revolutionized genomic studies. However, most genomes contain repeated DNA elements that are longer than the read lengths achievable with typical sequencers, so the genomic order of several generated contigs cannot be easily resolved. A new generation of sequencers offering substantially longer reads is emerging, notably the Pacific Biosciences (PacBio) RS II system and the MinION system, released in early 2014 by Oxford Nanopore Technologies through an early access program.</span></p><p>Address of the bookmark: <a href="http://www.nature.com/srep/2015/150707/srep11996/full/srep11996.html" rel="nofollow">http://www.nature.com/srep/2015/150707/srep11996/full/srep11996.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/29407/live-webinar-on-rna-seq-data-analysis-on-9-nov-2016</guid>
	<pubDate>Wed, 19 Oct 2016 05:25:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/29407/live-webinar-on-rna-seq-data-analysis-on-9-nov-2016</link>
	<title><![CDATA[Live Webinar on RNA-Seq Data Analysis on 9 Nov 2016]]></title>
	<description><![CDATA[<p><strong><a href="http://www.strand-ngs.com/webinar_registration">Live Webinar on RNA-Seq Data Analysis</a></strong></p><p><a href="http://www.strand-ngs.com/webinar_registration">Abstract: </a>Strand NGS supports an extensive workflow for the analysis and visualization of RNA-Seq data. The workflow includes Transcriptome / Genome alignment, Differential expression analysis with Statistical approach and Splicing events detection. Strand NGS also supports novel discovery like identification of novel genes, exons and Novel splice junctions, alongside it can also detect gene fusion events. Further downstream analysis such as GO and pathway analysis can be performed on the set of interesting genes. The product has an option to create pipelines for time consuming jobs which automates analysis and leaves more time for end data interpretation. This webinar will give an overview of the features in the RNA-Seq data analysis workflow in Strand NGS and also highlights on parameters within each feature that can be optimized depending on datasets and analysis needs.</p><p><a href="http://www.strand-ngs.com/webinar_registration">Speaker:</a> Mr. Sugandan Sivamani, Senior Application Scientist, Strand Life Sciences</p><p>Date: 9th Nov, <a href="http://www.strand-ngs.com/webinar_registration">Session 1</a> for SAPK/ APFO: 2:30 PM IST Date: 9th Nov, <a href="http://www.strand-ngs.com/webinar_registration">Session 2</a> for AFO/ EMEA: 9:00 AM PST</p><p>Register here <a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p>]]></description>
	<dc:creator>Strand</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34470/simngs-and-simlibrary-%E2%80%93-software-for-simulating-next-gen-sequencing-data</guid>
	<pubDate>Tue, 28 Nov 2017 06:49:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34470/simngs-and-simlibrary-%E2%80%93-software-for-simulating-next-gen-sequencing-data</link>
	<title><![CDATA[simNGS and simLibrary – Software for Simulating Next-Gen Sequencing Data]]></title>
	<description><![CDATA[<p>simNGS is software for simulating observations from Illumina sequencing machines using the statistical models behind the AYB base-calling software. By default, observations only incorporate noise due to sequencing and do not incorporate effects from more esoteric sources of noise that may be present in real data ("dust", bubbles, merged clusters, sequence-heterogeneous clusters, etc). Many of these additional sources may optionally applied.</p>
<p>simNGS takes fasta format sequences and a file describing the covariance of noise between bases and cycles observed in an actual run of the machine, randomly generates noisy intensities representing the signals for the sequence at each cycle and calculates likelihoods for all possible base calls.</p><p>Address of the bookmark: <a href="https://www.ebi.ac.uk/goldman-srv/simNGS/" rel="nofollow">https://www.ebi.ac.uk/goldman-srv/simNGS/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40707/vt-a-variant-tool-set-that-discovers-short-variants-from-next-generation-sequencing-data</guid>
	<pubDate>Tue, 28 Jan 2020 03:44:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40707/vt-a-variant-tool-set-that-discovers-short-variants-from-next-generation-sequencing-data</link>
	<title><![CDATA[vt: a variant tool set that discovers short variants from Next Generation Sequencing data.]]></title>
	<description><![CDATA[<p><span>vt is a variant tool set that discovers short variants from Next Generation Sequencing data.</span></p>
<p><span><a href="https://genome.sph.umich.edu/wiki/Vt">https://genome.sph.umich.edu/wiki/Vt</a></span></p>
<p><a href="https://github.com/atks/vt">https://github.com/atks/vt</a></p><p>Address of the bookmark: <a href="https://genome.sph.umich.edu/wiki/Vt" rel="nofollow">https://genome.sph.umich.edu/wiki/Vt</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4210/uni-computing-bergen-norway</guid>
  <pubDate>Tue, 03 Sep 2013 18:40:50 -0500</pubDate>
  <link></link>
  <title><![CDATA[Uni Computing Bergen Norway]]></title>
  <description><![CDATA[
<p>Info on Uni Computing (Webpage: http://www.bccs.uni.no/) :</p>

<p>Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen.</p>

<p>5 groups in this lab works on computational resources, methods, algorithms, and software.</p>

<p>Following two bioinformatics groups are:</p>

<p>The Computational Biology Unit (CBU) provides education and research in bioinformatics focused on functional genomics.</p>

<p>The Computational Ecology Unit (CEU) is basically deal with population fluctuations, behavioural patterns and the ways life cycles emerge.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2631/what-junk-dna-it%E2%80%99s-an-operating-system</guid>
	<pubDate>Mon, 19 Aug 2013 15:24:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2631/what-junk-dna-it%E2%80%99s-an-operating-system</link>
	<title><![CDATA[What Junk DNA? It’s an Operating System]]></title>
	<description><![CDATA[<p>The report adds to growing experimental support for the idea that all that extra stuff in the human genes, once referred to as &ldquo;junk DNA,&rdquo; is more than functionless, space-filling material that happens to make up nearly 98% of the genome. The paper adds to a growing body of knowledge establishing a considerable role for this material in the regulation of gene expression and its potential role in human disease.</p><p>Address of the bookmark: <a href="http://www.genengnews.com/keywordsandtools/print/3/32115/" rel="nofollow">http://www.genengnews.com/keywordsandtools/print/3/32115/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4212/eivind-hovigs-lab</guid>
  <pubDate>Tue, 03 Sep 2013 19:06:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Eivind Hovig's Lab]]></title>
  <description><![CDATA[
<p>Bioinformatics relevant research topics are:</p>

<p>genomic scale studies<br />endogenous mechanisms of mutations, germ line and somatic <br />computational aspects of immunology in cancer <br />signalling networks<br />three-dimensional organization of information in the nucleus<br />gene silencing<br />metastatic cross-talk<br />kinase signaling<br />personalized medicine<br />detection of biomarkers in cancer <br />historical DNA variation</p>

<p>From : http://www.ous-research.no/hovig/</p>

<p>Group address:<br />Eivind Hovig, The Norwegian Radium Hospital, Montebello, 0310 Oslo,Norway<br />Email: ehovig@radium.uio.no</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics</guid>
	<pubDate>Sun, 06 Oct 2013 04:59:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics</link>
	<title><![CDATA[Introduction of Epigenomics]]></title>
	<description><![CDATA[<ul>
<li><a href="http://www.genome.gov/27532724#al-1">What is the epigenome?</a></li>
<li><a href="http://www.genome.gov/27532724#al-2">What does the epigenome do?</a></li>
<li><a href="http://www.genome.gov/27532724#al-3">What makes up the epigenome?</a></li>
<li><a href="http://www.genome.gov/27532724#al-4">Is the epigenome inherited?</a></li>
<li><a href="http://www.genome.gov/27532724#al-5">What is imprinting?</a></li>
<li><a href="http://www.genome.gov/27532724#al-6">Can the epigenome change?</a></li>
<li><a href="http://www.genome.gov/27532724#al-7">What makes the epigenome change?</a></li>
<li><a href="http://www.genome.gov/27532724#al-8">How do changes in the epigenome contribute to cancer?</a></li>
<li><a href="http://www.genome.gov/27532724#al-9">How are researchers exploring the epigenome?</a></li>
</ul><p>Address of the bookmark: <a href="http://www.genome.gov/27532724" rel="nofollow">http://www.genome.gov/27532724</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

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