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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36218?offset=390</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33693/circleator</guid>
	<pubDate>Sun, 25 Jun 2017 18:04:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33693/circleator</link>
	<title><![CDATA[Circleator]]></title>
	<description><![CDATA[<p>The Charm City Circleator--or Circleator for short--is a Perl-based visualization tool developed at the&nbsp;<a href="http://igs.umaryland.edu/">Institute for Genome Sciences</a>&nbsp;in the University of Maryland's School of Medicine. Circleator produces circular plots of genome-associated data, like this one:</p>
<p><a href="https://camo.githubusercontent.com/0b414f050a7dcb672386932ee0cd83e5f42d2271/687474703a2f2f6a6f6e617468616e63726162747265652e6769746875622e696f2f436972636c6561746f722f696d616765732f43503030323732352d322d3432302e706e673f7261773d74727565" target="_blank"><img src="https://camo.githubusercontent.com/0b414f050a7dcb672386932ee0cd83e5f42d2271/687474703a2f2f6a6f6e617468616e63726162747265652e6769746875622e696f2f436972636c6561746f722f696d616765732f43503030323732352d322d3432302e706e673f7261773d74727565" alt="Sample Circleator image" title="Sample Circleator Image" style="border: 0px;"></a></p>
<p>Common uses of the tool include:</p>
<ul>
<li>Displaying the sequence and/or genes in a&nbsp;<a href="http://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;flat file.</li>
<li>Highlighting differences and/or similarities in gene content between related organisms.</li>
<li>Comparing SNPs and indels between closely-related strains or serovars.</li>
<li>Comparing gene expression values across multiple samples or timepoints.</li>
<li>Visualizing coverage plots of RNA-Seq read alignments.</li>
</ul>
<h3><a href="https://github.com/jonathancrabtree/Circleator#key-features"></a>Key Features</h3>
<p>Circleator...</p>
<ul>
<li>Builds on&nbsp;<a href="http://www.bioperl.org/">BioPerl</a>&nbsp;and the input file formats that it supports, including:
<ul>
<li><a href="http://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;flat files, GFF, FASTA</li>
</ul>
</li>
<li>Accepts a number of other commonly-used datatypes and file formats:
<ul>
<li><a href="http://bsr.igs.umaryland.edu/">BSR</a>&nbsp;and&nbsp;<a href="http://tandem.bu.edu/trf/trf.html">TRF</a>&nbsp;output,&nbsp;<a href="http://samtools.sourceforge.net/">SAM/BAM</a>&nbsp;files,&nbsp;<a href="http://vcftools.sourceforge.net/">VCF</a>-encoded SNPs, tab-delimited files</li>
</ul>
</li>
<li>Outputs publication-ready figures in the&nbsp;<a href="http://www.w3.org/Graphics/SVG/">SVG</a>&nbsp;(Scalable Vector Graphics) format.</li>
<li>Requires only a single configuration file whose layout mirrors that of the figure itself.
<ul>
<li>Predefined configuration files and "track" types are supplied for common datasets.</li>
<li>Advanced features allow limited analyses to be performed as a figure is drawn.</li>
</ul>
</li>
<li>Includes an extensive set of regression tests.</li>
<li>Offers a prototype web-based GUI (under the "Ringmaster" project.)</li>
</ul>
<p>https://github.com/jonathancrabtree/Circleator</p><p>Address of the bookmark: <a href="https://github.com/jonathancrabtree/Circleator" rel="nofollow">https://github.com/jonathancrabtree/Circleator</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35400/zpicture-a-dynamic-blastz-alignment-visualization</guid>
	<pubDate>Tue, 30 Jan 2018 16:03:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35400/zpicture-a-dynamic-blastz-alignment-visualization</link>
	<title><![CDATA[zPicture: A dynamic blastz alignment visualization]]></title>
	<description><![CDATA[<p><span>zPicture is a dynamic alignment and&nbsp;</span><span>visualization</span><span>&nbsp;tool that is based on blastz alignment program utilized by PipMaker. zPicture alignments can be automatically submitted to rVista 2.0 to identify conserved transcription factor binding sites.</span></p><p>Address of the bookmark: <a href="https://zpicture.dcode.org/" rel="nofollow">https://zpicture.dcode.org/</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</guid>
	<pubDate>Mon, 09 Jul 2018 05:27:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</link>
	<title><![CDATA[Epiviz: an interactive visualization tool for functional genomics data.]]></title>
	<description><![CDATA[<p><span>Epiviz is an interactive visualization tool for functional genomics data. It supports genome navigation like other genome browsers, but allows multiple visualizations of data within genomic regions using scatterplots, heatmaps and other user-supplied visualizations. It also includes data from the&nbsp;</span><a href="http://barcode.luhs.org/" target="_blank">Gene Expression Barcode project</a><span>&nbsp;for transcriptome visualization. It has a flexible plugin framework so users can add</span><a href="http://d3js.org/" target="_blank">d3</a><span>&nbsp;visualizations. You can see a video tour&nbsp;</span><a href="http://youtu.be/099c4wUxozA" target="_blank">here</a><span>.</span></p>
<p><span>https://bioconductor.org/packages/release/bioc/html/epivizr.html</span></p>
<p><span>https://github.com/epiviz</span></p>
<p><span>https://github.com/epiviz/epiviz</span></p><p>Address of the bookmark: <a href="https://epiviz.github.io/" rel="nofollow">https://epiviz.github.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38646/visnetwork-an-r-package-for-network-visualization-using-visjs-javascript-library</guid>
	<pubDate>Wed, 09 Jan 2019 11:00:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38646/visnetwork-an-r-package-for-network-visualization-using-visjs-javascript-library</link>
	<title><![CDATA[visNetwork: an R package for network visualization, using vis.js javascript library]]></title>
	<description><![CDATA[<div id="introduction">
<p><strong>visNetwork</strong>&nbsp;is an R package for network visualization, using&nbsp;<strong>vis.js</strong>&nbsp;javascript library (<a href="http://visjs.org/">http://visjs.org/</a>). All remarks and bugs are welcome on github :&nbsp;<a href="https://github.com/datastorm-open/visNetwork">https://github.com/datastorm-open/visNetwork</a>.</p>
</div>
<div id="features">
<h2>Features</h2>
<p>Based on&nbsp;<a href="http://www.htmlwidgets.org/">htmlwidgets</a>, so :</p>
<ul>
<li>compatible with&nbsp;<a href="http://shiny.rstudio.com/">shiny</a>, R Markdown documents, and RStudio viewer</li>
</ul>
<p>The package proposes all the features available in&nbsp;<strong>vis.js</strong>&nbsp;API, and even more with special features for R :</p>
<ul>
<li>easy to use</li>
<li>custom shapes, styles, colors, sizes, &hellip;</li>
<li>works smooth on any modern browser for up to a few thousand nodes and edges</li>
<li>interactivity controls (highlight, collapsed nodes, selection, zoom, physics, movement of nodes, tooltip, events, &hellip;)</li>
<li>visualize&nbsp;<code>rpart</code>&nbsp;tree</li>
<li></li>
</ul>
</div><p>Address of the bookmark: <a href="https://datastorm-open.github.io/visNetwork/" rel="nofollow">https://datastorm-open.github.io/visNetwork/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40964/panev-an-r-package-for-a-pathway-based-network-visualization</guid>
	<pubDate>Sun, 09 Feb 2020 12:41:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40964/panev-an-r-package-for-a-pathway-based-network-visualization</link>
	<title><![CDATA[PANEV: an R package for a pathway-based network visualization]]></title>
	<description><![CDATA[<p><span>PANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to&nbsp;</span><em>n</em><span>) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes.</span></p>
<p><span><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3371-7">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3371-7</a></span></p><p>Address of the bookmark: <a href="https://github.com/vpalombo/PANEV" rel="nofollow">https://github.com/vpalombo/PANEV</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44414/reconplot-an-r-package-for-the-visualization-and-interpretation-of-genomic-rearrangements</guid>
	<pubDate>Thu, 14 Dec 2023 12:33:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44414/reconplot-an-r-package-for-the-visualization-and-interpretation-of-genomic-rearrangements</link>
	<title><![CDATA[ReConPlot: an R package for the visualization and interpretation of genomic rearrangements]]></title>
	<description><![CDATA[<p>ReConPlot (REarrangement and COpy Number PLOT), an R package that provides functionalities for the joint visualization of SCNAs and SVs across one or multiple chromosomes. ReConPlot is based on the popular ggplot2 package, thus allowing customization of plots and the generation of publication-quality figures with minimal effort.</p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/39/12/btad719/7460198?login=false" rel="nofollow">https://academic.oup.com/bioinformatics/article/39/12/btad719/7460198?login=false</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34477/computational-genomics-applied-comparative-genomics</guid>
	<pubDate>Wed, 29 Nov 2017 05:11:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34477/computational-genomics-applied-comparative-genomics</link>
	<title><![CDATA[Computational Genomics: Applied Comparative Genomics]]></title>
	<description><![CDATA[<p><span>The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.</span><span>&nbsp;We will study the leading computational and quantitative approaches for comparing and analyzing genomes starting from raw sequencing data. The course will focus on human genomics and human medical applications, but the techniques will be broadly applicable across the tree of life. The topics will include genome assembly &amp; comparative genomics, variant identification &amp; analysis, gene expression &amp; regulation, personal genome analysis, and cancer genomics. The grading will be based on assignments, a midterm exam, class presentations, and a significant class project. There are no formal course prerequisites, although the course will require familiarity with UNIX scripting and/or programming to complete the assignments and course project.</span></p><p>Address of the bookmark: <a href="https://github.com/schatzlab/appliedgenomics" rel="nofollow">https://github.com/schatzlab/appliedgenomics</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42903/katherine-belov-lab</guid>
  <pubDate>Sun, 21 Feb 2021 22:59:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Katherine Belov Lab]]></title>
  <description><![CDATA[
<p>Evolution of the adaptive immune system Marsupial and monotreme immune genes MHC Diversity and Conservation Marsupial and monotreme genomics Comparative Genomics Genetics of Tasmanian Devil facial tumour disease</p>

<p>More at https://www.sydney.edu.au/science/about/our-people/academic-staff/kathy-belov.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34485/phyloxml-xml-for-evolutionary-biology-and-comparative-genomics</guid>
	<pubDate>Wed, 29 Nov 2017 10:04:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34485/phyloxml-xml-for-evolutionary-biology-and-comparative-genomics</link>
	<title><![CDATA[phyloXML:  XML for evolutionary biology and comparative genomics]]></title>
	<description><![CDATA[<p><a href="http://www.biomedcentral.com/1471-2105/10/356/">phyloXML</a><span>&nbsp;(</span><a href="http://www.phyloxml.org/examples_syntax/phyloxml_syntax_example_1.html">example</a><span>) is an&nbsp;</span><a href="http://en.wikipedia.org/wiki/XML">XML</a><span>&nbsp;language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events. Using these standardized elements allows interoperability between various applications and databases. Furthermore, both due to extensible nature of XML itself and the provision of &lt;property&gt; elements by phyloXML, extensibility as well as domain specific applications are ensured. The structure of phyloXML is described by&nbsp;</span><a href="http://en.wikipedia.org/wiki/XML_Schema_%28W3C%29">XML Schema Definition (XSD)</a><span>&nbsp;language.</span></p><p>Address of the bookmark: <a href="http://www.phyloxml.org/" rel="nofollow">http://www.phyloxml.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38682/bourque-lab</guid>
  <pubDate>Mon, 14 Jan 2019 15:39:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bourque Lab]]></title>
  <description><![CDATA[
<p>The goal of the lab is to understand mammalian genomes using comparative genomic and epigenomic analyses. Areas of interest include: the evolution of regulatory sequences, the role of transposable elements in gene regulation and the impact of genome rearrangements in evolution and cancer.</p>

<p>As a computational genomicists our work involves examining billions of DNA base pairs and interpreting how variation impacts basic biology and disease. We develop computational methods and resources for the functional annotation of genomes with a special emphasis on sequencing-based assays (e.g. ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, single-cell analysis).</p>

<p>http://www.computationalgenomics.ca</p>
]]></description>
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