<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44659?offset=220</link>
	<atom:link href="https://bioinformaticsonline.com/related/44659?offset=220" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36927/restrictiondigest-a-powerful-perl-module-for-simulating-genomic-restriction-digests</guid>
	<pubDate>Tue, 12 Jun 2018 13:17:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36927/restrictiondigest-a-powerful-perl-module-for-simulating-genomic-restriction-digests</link>
	<title><![CDATA[RestrictionDigest: A powerful Perl module for simulating genomic restriction digests]]></title>
	<description><![CDATA[RestrictionDigest can simulate the reference genome digestion and generate comprehensive information of the simulation. It can simulate single-enzyme digestion, double-enzyme digestion and size selection process. It can also analyze multiple genomes at one run and generates concise comparison of enzyme(s) performance across the genomes.

For more information, please see the academic paper published online (http://www.sciencedirect.com/science/article/pii/S071734581630001X).<p>Address of the bookmark: <a href="https://github.com/JINPENG-WANG/RestrictionDigest" rel="nofollow">https://github.com/JINPENG-WANG/RestrictionDigest</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38420/regioner-an-r-package-for-the-management-and-comparison-of-genomic-regions</guid>
	<pubDate>Tue, 11 Dec 2018 08:43:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38420/regioner-an-r-package-for-the-management-and-comparison-of-genomic-regions</link>
	<title><![CDATA[regioneR: an R package for the management and comparison of genomic regions]]></title>
	<description><![CDATA[<p><span>Regioner is an R package for the management and comparison of genomic regions. It offers a set of function for basic manipulation of region sets extending the functionality of GenomicRanges and a powerful and customizable permutation test framework. With it, it's possible to study the association of a set of regions with other sets of regions, functions defined over the genome or essentially any user defined function.</span></p>
<p><span>http://gattaca.imppc.org/regioner/</span></p><p>Address of the bookmark: <a href="http://gattaca.imppc.org/regioner/" rel="nofollow">http://gattaca.imppc.org/regioner/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39450/apollo-first-instantaneous-collaborative-genomic-annotation-editor-available-on-the-web</guid>
	<pubDate>Fri, 31 May 2019 19:55:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39450/apollo-first-instantaneous-collaborative-genomic-annotation-editor-available-on-the-web</link>
	<title><![CDATA[Apollo: First instantaneous, collaborative genomic annotation editor available on the Web]]></title>
	<description><![CDATA[<ul>
<li>Apollo is a plug-in for the&nbsp;<a href="http://jbrowse.org/">JBrowse</a>&nbsp;Genome Viewer.</li>
<li>In addition to genes and pseudogenes, users can annotate ncRNAs (snRNA, snoRNA, tRNA, rRNA), miRNAs, repeat regions, and transposable elements; each annotation type has its own configuration of the &lsquo;Information Editor&rsquo;.</li>
<li>History tracking with undo/redo functions is available.</li>
<li>Users are able to directly set an annotation to a specific state, choosing from the &lsquo;History&rsquo; display.</li>
<li>Adding and updating PubMed IDs will prompt users with a publication title to confirm their submission.</li>
<li>Gene Ontology (GO) terms are supported and GO ID auto-completion has been incorporated.</li>
<li>Users may access a &lsquo;Recent Changes&rsquo; page.</li>
<li>Help page with Apollo specific content is available.</li>
</ul><p>Address of the bookmark: <a href="http://genomearchitect.github.io/" rel="nofollow">http://genomearchitect.github.io/</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/44894/dna2bit-an-ultra-fast-and-accurate-genomic-distance-estimation-software</guid>
	<pubDate>Sun, 31 Aug 2025 06:24:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44894/dna2bit-an-ultra-fast-and-accurate-genomic-distance-estimation-software</link>
	<title><![CDATA[dna2bit: an ultra-fast and accurate genomic distance estimation software]]></title>
	<description><![CDATA[<p><span>dna2bit is a software tool developed in C++11, leveraging the capabilities of OpenMP for parallel computing and the popcount technique for efficient bit manipulation. It has been thoroughly tested using the g++ and clang compilers on both Linux and MacOS platforms.</span></p><p>Address of the bookmark: <a href="https://github.com/lijuzeng/dna2bit" rel="nofollow">https://github.com/lijuzeng/dna2bit</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/933/world-of-omics</guid>
	<pubDate>Tue, 16 Jul 2013 17:11:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/933/world-of-omics</link>
	<title><![CDATA[World of Omics]]></title>
	<description><![CDATA[<p>How many variants of "omics" techniques presently in use ?</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</guid>
	<pubDate>Thu, 29 Aug 2013 15:10:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</link>
	<title><![CDATA[Should you get sequenced? Not all bad genes predict disease]]></title>
	<description><![CDATA[<p><span>&ldquo;What we really don&rsquo;t know yet is whether the predictive aspects of the genome are going to turn out to be beneficial or potentially harmful&rdquo;</span></p>
<p><span><span>&ldquo;As we roll out genomic medicine we are fighting against this society-wide misconception that having the bad gene means you&rsquo;re going to get the disease. That&rsquo;s only true in a very few cases.&rdquo;</span></span></p>
<p><span><span><strong>Source</strong>:Today Health</span></span></p><p>Address of the bookmark: <a href="http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154" rel="nofollow">http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</guid>
	<pubDate>Wed, 21 Aug 2013 07:56:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</link>
	<title><![CDATA[Comparison of Short Read De Novo Alignment Algorithms]]></title>
	<description><![CDATA[<p>Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references.</p>
<p>Title:&nbsp;<strong>Comparison of Short Read De Novo Alignment Algorithms&nbsp;</strong></p>
<p>Author<strong>: Nikhil Gopal</strong></p><p>Address of the bookmark: <a href="http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf" rel="nofollow">http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4208/latest-paper-on-comparison-of-mapping-tools</guid>
	<pubDate>Tue, 03 Sep 2013 18:00:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4208/latest-paper-on-comparison-of-mapping-tools</link>
	<title><![CDATA[Latest paper on comparison of mapping tools]]></title>
	<description><![CDATA[<p>A. Hatem, D. Bozdag, A. E. Toland, U. V. Catalyurek "Benchmarking short sequence mapping tools" BMC Bioinformatics, 14(1):184, 2013.</p>
<p>http://bmi.osu.edu/hpc/software/benchmark/</p>
<p><a href="http://bmi.osu.edu/hpc/software/pmap/pmap.html">http://bmi.osu.edu/hpc/software/pmap/pmap.html</a></p>
<p>Other similiar papers:</p>
<p><a href="http://online.liebertpub.com/doi/pdf/10.1089/cmb.2012.0022">http://online.liebertpub.com/doi/pdf/10.1089/cmb.2012.0022</a></p>
<p><a href="http://bioinformatics.oxfordjournals.org/content/28/24/3169">http://bioinformatics.oxfordjournals.org/content/28/24/3169</a></p>
<p>Some new Mapping tool links:<a href="http://bmi.osu.edu/hpc/software/benchmark/"></a></p>
<p><strong>GSNAP</strong></p>
<p><a href="http://research-pub.gene.com/gmap/"></a><a href="http://research-pub.gene.com/gmap/">http://research-pub.gene.com/gmap/</a></p>
<p><strong>RMAP</strong></p>
<p><a href="http://rulai.cshl.edu/rmap/"></a><a href="http://rulai.cshl.edu/rmap/">http://rulai.cshl.edu/rmap/</a></p>
<p><strong>mrsFAST</strong></p>
<p><a href="http://mrsfast.sourceforge.net/Home"></a><a href="http://mrsfast.sourceforge.net/Home">http://mrsfast.sourceforge.net/Home</a></p>
<p><a href="http://sourceforge.net/projects/mrsfast/files/mrsfast-ultra-3.1.0/">http://sourceforge.net/projects/mrsfast/files/mrsfast-ultra-3.1.0/</a></p>
<p><strong>BFAST</strong></p>
<p><a href="http://sourceforge.net/apps/mediawiki/bfast/index.php?title=Main_Page">http://sourceforge.net/apps/mediawiki/bfast/index.php?title=Main_Page</a></p>
<p><strong>SHRiMP (for&nbsp;AB SOLiD color-space reads)</strong></p>
<p><a href="http://compbio.cs.toronto.edu/shrimp/">http://compbio.cs.toronto.edu/shrimp/</a></p>
<p><strong>RazerA 3</strong></p>
<p><a href="http://www.seqan.de/projects/razers/">http://www.seqan.de/projects/razers/</a></p><p>Address of the bookmark: <a href="http://www.biomedcentral.com/1471-2105/14/184" rel="nofollow">http://www.biomedcentral.com/1471-2105/14/184</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced</guid>
	<pubDate>Fri, 21 Mar 2014 13:57:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced</link>
	<title><![CDATA[Largest Genome Sequenced]]></title>
	<description><![CDATA[<p>The enormous size of the <strong>loblolly pine genome</strong> having <strong>22 billion base pairs</strong> compared to only 3 billion in the human genome. In other words, it is&nbsp;<strong>seven times</strong> larger than a human&rsquo;s and also the largest and the most complete&nbsp;<strong>conifer<a href="http://en.wikipedia.org/wiki/Pinophyta" target="_blank"></a></strong>&nbsp;genome ever sequenced.</p>
<p><strong>Related Paper:</strong></p>
<p>http://genomebiology.com/2014/15/3/R59/abstract</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.news.ucdavis.edu/search/news_detail.lasso?id=10859" rel="nofollow">http://www.news.ucdavis.edu/search/news_detail.lasso?id=10859</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

</channel>
</rss>