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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/21443?offset=860</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14186/pybedtools</guid>
	<pubDate>Wed, 20 Aug 2014 01:03:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14186/pybedtools</link>
	<title><![CDATA[pybedtools]]></title>
	<description><![CDATA[<p>pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs (https://github.com/arq5x/bedtools), which are widely used for genomic interval manipulation or "genome algebra". pybedtools extends BEDTools by offering feature-level manipulations from with Python. See full online documentation, including installation instructions, at http://pythonhosted.org/pybedtools/.</p><p>More at http://pythonhosted.org/pybedtools/</p><p>A powerful toolset for genome arithmetic.http://code.google.com/p/bedtools/</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26729/ga4gh-data-working-group</guid>
	<pubDate>Sun, 20 Mar 2016 23:13:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26729/ga4gh-data-working-group</link>
	<title><![CDATA[GA4GH Data Working Group]]></title>
	<description><![CDATA[<p>GA4GH Data Working Group</p>
<p>Led by David Haussler (UCSC) and Richard Durbin (Sanger Institute), the Data Working Group (DWG) of the Global Alliance brings together the leading Genome Institutes and Centers with IT industry leaders to create global standards and tools for the secure, privacy respecting and interoperable sharing of Genomic data.</p>
<p>More at&nbsp;http://ga4gh.org/#/</p><p>Address of the bookmark: <a href="http://ga4gh.org/#/" rel="nofollow">http://ga4gh.org/#/</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</guid>
	<pubDate>Thu, 25 Oct 2018 06:14:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</link>
	<title><![CDATA[Platypus: A Haplotype-Based Variant Caller For Next Generation Sequence Data]]></title>
	<description><![CDATA[<p><strong>Platypus</strong><span>&nbsp;is a tool designed for efficient and accurate variant-detection in high-throughput sequencing data. By using local realignment of reads and local assembly it achieves both high sensitivity and high specificity. Platypus can detect SNPs, MNPs, short indels, replacements and (using the assembly option) deletions up to several kb. It has been extensively tested on&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/pubmed/?term=24463883">whole-genome</a><span>,&nbsp;</span><a href="http://www.nature.com/ng/journal/v45/n1/abs/ng.2492.html">exon-capture</a><span>, and&nbsp;</span><a href="http://www.nature.com/nature/journal/v493/n7432/abs/nature11725.html">targeted capture</a><span>&nbsp;data, it has been run on very large datasets as part of the&nbsp;</span><a href="http://www.1000genomes.org/">Thousand Genomes</a><span>&nbsp;and WGS500 projects, and is being used in clinical sequencing trials in the&nbsp;</span><a href="http://www.mcgprogramme.com/">Mainstreaming Cancer Genetics</a><span>&nbsp;programme.&nbsp;</span></p>
<p><span>Tutorial&nbsp;https://github.com/andyrimmer/Platypus/blob/master/misc/README.txt</span></p><p>Address of the bookmark: <a href="http://www.well.ox.ac.uk/platypus" rel="nofollow">http://www.well.ox.ac.uk/platypus</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</guid>
	<pubDate>Mon, 26 Aug 2019 18:07:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</link>
	<title><![CDATA[LRSDAY: Long-read Sequencing Data Analysis for Yeasts]]></title>
	<description><![CDATA[<p><span>Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding yeast,&nbsp;</span><em>Saccharomyces cerevisiae</em><span>, has many isolates currently being sequenced with long reads.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/yjx1217/LRSDAY" rel="nofollow">https://github.com/yjx1217/LRSDAY</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42324/comparative-genomics-data-set-including-240-mammals-released</guid>
	<pubDate>Thu, 19 Nov 2020 06:45:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42324/comparative-genomics-data-set-including-240-mammals-released</link>
	<title><![CDATA[Comparative Genomics Data Set Including 240 Mammals Released !]]></title>
	<description><![CDATA[<p>The genome of 130 mammals was sequenced by a large international consortium and the data was analyzed together with 110 existing genomes to allow scientists to identify the important positions in the DNA. This report, published in Nature today will help advance research on human disease mutations and inform how best to protect endangered species.</p><p>In addition to the knowledge of the human genome, all these genomes, widely sampled across mammals, can be used to research how particular organisms respond to different conditions. Some otters, for example, have a thick, water-resistant shell, and some rodents, but not all, have adapted to hibernation. These animal traits will help us to understand human traits, such as metabolic diseases.</p><p><img src="https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41586-020-2876-6/MediaObjects/41586_2020_2876_Fig1_HTML.png?as=webp" alt="image" style="border: 0px; border: 0px;"></p><p>With climate change and more animal ecosystems being threatened by human activity, the protection of endangered species is becoming increasingly important. Scientists have historically researched several people in various populations of a species to understand the genetic variation that occurs in that species. This is important for understanding how particular species can be protected. In this study, animals on the Red List of Endangered Species of the International Union for Conservation of Nature had fewer differences in their genomes, which is consistent with their endangered status.</p><p>Ref @&nbsp;A comparative genomics multitool for scientific discovery and conservation&nbsp;https://www.nature.com/articles/s41586-020-2876-6</p><p>&nbsp;Data at&nbsp;http://zoonomiaproject.org/</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44545/amr-database</guid>
	<pubDate>Tue, 04 Jun 2024 13:37:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44545/amr-database</link>
	<title><![CDATA[AMR Database !]]></title>
	<description><![CDATA[<ul>
<li><a href="http://en.mediterranee-infection.com/article.php?laref=283%26titre=arg-annot">ARG-ANNOT</a>. PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/24145532">24145532</a></li>
<li><a href="https://card.mcmaster.ca/">CARD</a>. PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/23650175">23650175</a></li>
<li><a href="https://megares.meglab.org/">MEGARes</a>&nbsp;PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/27899569">27899569</a></li>
<li><a href="https://www.ncbi.nlm.nih.gov/pathogens/isolates#/refgene/">NCBI</a>&nbsp;BioProject:&nbsp;<a href="https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA313047">PRJNA313047</a></li>
<li><a href="https://cge.cbs.dtu.dk/services/PlasmidFinder/">plasmidfinder</a>&nbsp;PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/24777092">24777092</a></li>
<li><a href="https://cge.cbs.dtu.dk//services/ResFinder/">resfinder</a>. PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/22782487">22782487</a></li>
<li><a href="http://www.mgc.ac.cn/VFs/">VFDB</a>. PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/26578559">26578559</a></li>
<li><a href="https://github.com/katholt/srst2">SRST2</a>'s version of ARG-ANNOT. PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/25422674">25422674</a>.</li>
<li><a href="https://cge.cbs.dtu.dk/services/VirulenceFinder/">VirulenceFinder</a>&nbsp;PMID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/24574290">24574290</a>.</li>
</ul><p>Address of the bookmark: <a href="https://github.com/sanger-pathogens/ariba/wiki/Task%3A-getref" rel="nofollow">https://github.com/sanger-pathogens/ariba/wiki/Task%3A-getref</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/924/try-r-online</guid>
	<pubDate>Tue, 16 Jul 2013 06:15:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/924/try-r-online</link>
	<title><![CDATA[Try R Online]]></title>
	<description><![CDATA[<p>One of the best R tutorial website, which provide an online interative interface to try and learn R language without any hassle.</p><p>Link @ http://tryr.codeschool.com/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17515/ngs-online-training</guid>
  <pubDate>Sat, 27 Sep 2014 07:42:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[NGS Online Training]]></title>
  <description><![CDATA[
<p>ArrayGen Technologies announces to provide online NGS training through out the globe. Now analyze your own NGS datasets from anywhere.For more information contact us at training@arraygen.com</p>

<p>Please visit our site at www.arraygen.com</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8848/upgrade-r-303</guid>
	<pubDate>Mon, 10 Mar 2014 11:23:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8848/upgrade-r-303</link>
	<title><![CDATA[Upgrade R 3.0.3]]></title>
	<description><![CDATA[<p>R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data miners are showing R's popularity has increased substantially in recent years. Recently the new version of R codename &ldquo;Warm Puppy" have been released.<br /><br />You can download the latest version from here http://cran.rstudio.com/ . Or, if you are using Windows, you can upgrade to the latest version using the installr package http://cran.r-project.org/web/packages/installr/ . Simply run the following code:<br /><br /># installing/loading the package:<br />if(!require(installr)) { <br />install.packages("installr"); require(installr)} #load / install+load installr<br />&nbsp;<br />updateR()<br /><br />I try to keep the installr package updated and useful. If you have any suggestions or remarks on the package, you&rsquo;re invited to leave a comment below.<br /><br />If you use the global library system http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/ , you can run the following in the new version of R:<br /><br />source("http://www.r-statistics.com/wp-content/uploads/2010/04/upgrading-R-on-windows.r.txt")<br />New.R.RunMe()</p><p>Reference:</p><p>http://www.r-statistics.com/2014/03/r-3-0-3-is-released/</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</guid>
	<pubDate>Mon, 19 Jun 2017 06:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</link>
	<title><![CDATA[Circular plots in R]]></title>
	<description><![CDATA[<div>
<p><strong>Circular plots</strong>&nbsp;are useful to represent complicated informations. They are used in 2 specific cases: when you have long axis and numerous categories, and when you want to show relationships between elements. The&nbsp;<a href="http://circos.ca/images/samples/" target="_blank">circos gallery</a>&nbsp;displays several examples of circular plots, what gives a nice overview of the possibilities. Circos is the most famous</p>
</div>
<div>
<p>tool to create circular plots. Thanks to&nbsp;<a href="https://www.linkedin.com/in/zuguanggu" target="_blank">Zuguang Gu</a>, the&nbsp;<a href="https://cran.r-project.org/web/packages/circlize/vignettes/circlize.pdf" target="_blank">Circlize library</a>&nbsp;makes the circos functions available in R! It implements low-level graphic functions for adding common graphics in a circular layout. This page aims to learn you how to use the library, so I strongly advise to read the graphics in the proposed order!</p>
<p><img src="http://www.r-graph-gallery.com/wp-content/uploads/2016/03/122_Circlize_package.png" width="480" height="480" alt="image" style="border: 0px;"></p>
</div>
<p>http://www.r-graph-gallery.com/portfolio/circular-plot/</p><p>Address of the bookmark: <a href="http://www.r-graph-gallery.com/portfolio/circular-plot/" rel="nofollow">http://www.r-graph-gallery.com/portfolio/circular-plot/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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