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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44902?offset=200</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes</guid>
	<pubDate>Tue, 22 May 2018 04:09:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes</link>
	<title><![CDATA[Hapsembler: An Assembler for Highly Polymorphic Genomes]]></title>
	<description><![CDATA[Hapsembler is a haplotype-specific genome assembly toolkit that is designed for genomes that are rich in SNPs and other types of polymorphism. Hapsembler can be used to assemble reads from a variety of platforms including Illumina and Roche/454. 

http://compbio.cs.toronto.edu/hapsembler/<p>Address of the bookmark: <a href="http://compbio.cs.toronto.edu/hapsembler/" rel="nofollow">http://compbio.cs.toronto.edu/hapsembler/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</guid>
	<pubDate>Wed, 22 Aug 2018 22:10:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</link>
	<title><![CDATA[ComparativeGenomics Exercise2]]></title>
	<description><![CDATA[<p>COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP&nbsp; @&nbsp;cbs.dtu.dk</p><p>Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37581" length="139956" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity</guid>
	<pubDate>Tue, 30 Oct 2018 10:46:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity</link>
	<title><![CDATA[VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity]]></title>
	<description><![CDATA[<p><span>VGSC, the Vector Graph toolkit of genome Synteny and Collinearity, and its online service, to visualize the synteny and collinearity in the common graphical format, including both raster (JPEG, Bitmap, and PNG) and vector graphic (SVG, EPS, and PDF).</span><em>&nbsp;</em></p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783527/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783527/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38418/charles-swanton-lab</guid>
  <pubDate>Tue, 11 Dec 2018 08:09:22 -0600</pubDate>
  <link></link>
  <title><![CDATA[CHARLES SWANTON LAB]]></title>
  <description><![CDATA[
<p>They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have happened as a tumour evolves. We’re also investigating the processes that cause mutations and accelerate tumour evolution and working out how they might be stopped. And we are running evolutionary clinical trials with immune and targeted therapies to bring the benefits of our work to patients as quickly as possible.</p>

<p>https://www.crick.ac.uk/research/labs/charles-swanton</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline</guid>
	<pubDate>Tue, 22 Jan 2019 05:52:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline</link>
	<title><![CDATA[Roary: the Pan Genome Pipeline]]></title>
	<description><![CDATA[<p><span>Roary is a high speed stand alone pan genome pipeline, which takes annotated assemblies in GFF3 format (produced by Prokka (Seemann, 2014)) and calculates the pan genome. Using a standard desktop PC, it can analyse datasets with thousands of samples, something which is computationally infeasible with existing methods, without compromising the quality of the results. 128 samples can be analysed in under 1 hour using 1 GB of RAM and a single processor. To perform this analysis using existing methods would take weeks and hundreds of GB of RAM. Roary is not intended for meta-genomics or for comparing extremely diverse sets of genomes.</span></p><p>Address of the bookmark: <a href="https://sanger-pathogens.github.io/Roary/" rel="nofollow">https://sanger-pathogens.github.io/Roary/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39626/geval-genome-evaluation-browser</guid>
	<pubDate>Tue, 18 Jun 2019 05:39:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39626/geval-genome-evaluation-browser</link>
	<title><![CDATA[gEVAL: Genome Evaluation Browser]]></title>
	<description><![CDATA[<p>The&nbsp;<strong>gEVAL Browser</strong>&nbsp;allows the evaluation of genome assemblies through its tools and pre-computed analyses.</p>
<p>The strength of this browser is the ability to navigate an up to date assembly and identify problematic regions and assist in strategizing potential solutions for these issues.</p>
<p>This facilitates the improvement of overall assemblies to a &ldquo;gold&rdquo; standard for release as reference genomes</p><p>Address of the bookmark: <a href="https://geval.sanger.ac.uk/index.html" rel="nofollow">https://geval.sanger.ac.uk/index.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40609/genome-informatics-section-lab</guid>
  <pubDate>Sat, 25 Jan 2020 06:38:23 -0600</pubDate>
  <link></link>
  <title><![CDATA[Genome Informatics Section Lab !]]></title>
  <description><![CDATA[
<p>Our section develops and applies computational methods for the analysis of massive genomics datasets, focusing on the challenges of genome sequencing and comparative genomics. We aim to improve such foundational processes and translate emerging genomic technologies into practice.</p>

<p>The Genome Informatics Section is hiring! Come join our outstanding team at the NIH’s National Human Genome Research Institute and contribute to the development of new reference genomes and computational methods for DNA sequencing and analysis. Both postdoc and PhD students positions are available. More information and application instructions follow below.</p>

<p>More at https://genomeinformatics.github.io/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42326/edanchin-lab</guid>
  <pubDate>Thu, 19 Nov 2020 08:00:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[Edanchin Lab]]></title>
  <description><![CDATA[
<p>My main topics of interest are:</p>

<p>The impact of non tree-like evolution such as horizontal gene transfers and hybridization on species biology<br />Evolution and adaptation of animals in the absence of sexual reproduction and the underlying mechanisms<br />Genomic signatures of adaptation to a parasitic life-style</p>

<p>More at https://edanchin.org/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43060/simons-genome-diversity-project</guid>
	<pubDate>Sat, 08 May 2021 21:55:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43060/simons-genome-diversity-project</link>
	<title><![CDATA[Simons Genome Diversity Project]]></title>
	<description><![CDATA[<p><em>Complete genome sequences from more than one hundred diverse human populations</em></p>
<p>All genomes in the dataset were sequenced to at least 30x coverage using Illumina technology. The sequencing reads were mapped and genotyped using a customized procedure that was optimized for population genetic analysis. The researchers eliminated bias of alleles toward matching the human genome reference sequence, and determined genotypes on a single-sample basis to avoid preferential calling of genotypes from populations that had more individuals represented.</p><p>Address of the bookmark: <a href="https://www.simonsfoundation.org/simons-genome-diversity-project/" rel="nofollow">https://www.simonsfoundation.org/simons-genome-diversity-project/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43376/hisat2-index-files-download</guid>
	<pubDate>Wed, 15 Sep 2021 22:17:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43376/hisat2-index-files-download</link>
	<title><![CDATA[HISAT2 Index Files Download !]]></title>
	<description><![CDATA[<p>Resource for downloading all the HISAT2 related files&nbsp;</p>
<p>Please cite:</p>
<blockquote>
<p>Kim, D., Paggi, J.M., Park, C.&nbsp;<em>et al.</em>&nbsp;Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype.&nbsp;<em>Nat Biotechnol</em>&nbsp;<strong>37</strong>, 907&ndash;915 (2019).&nbsp;<a href="https://doi.org/10.1038/s41587-019-0201-4" target="_blank">https://doi.org/10.1038/s41587-019-0201-4</a></p>
</blockquote><p>Address of the bookmark: <a href="http://daehwankimlab.github.io/hisat2/download/#h-sapiens" rel="nofollow">http://daehwankimlab.github.io/hisat2/download/#h-sapiens</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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