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	<title><![CDATA[BOL: Related items]]></title>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39913/twinblast-when-two-is-better-than-one</guid>
	<pubDate>Sat, 07 Sep 2019 08:50:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39913/twinblast-when-two-is-better-than-one</link>
	<title><![CDATA[TwinBLAST: When Two Is Better than One]]></title>
	<description><![CDATA[<p>TwinBLAST is a web-based tool for viewing 2 BLAST reports simultaneouslyside-by-side. It uses ExtJS (www.sencha.com/products/extjs/) to provide 2independently scrollable panels. BioPerl (www.bioperl.org) is used to indexraw BLAST reports and Bio::Graphics is used to draw pictograms of the BLASThits.</p>
<p><a href="https://github.com/IGS/twinblast">https://github.com/IGS/twinblast</a></p>
<p><a href="https://mra.asm.org/content/8/35/e00842-19">https://mra.asm.org/content/8/35/e00842-19</a></p><p>Address of the bookmark: <a href="https://github.com/IGS/twinblast" rel="nofollow">https://github.com/IGS/twinblast</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</guid>
	<pubDate>Thu, 20 Aug 2015 02:21:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</link>
	<title><![CDATA[Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud]]></title>
	<description><![CDATA[<p>InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.</p>
<p>With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.</p>
<p>More at https://insidedna.me/</p><p>Address of the bookmark: <a href="https://insidedna.me/" rel="nofollow">https://insidedna.me/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34504/minion-gc-an-r-script-to-do-some-qc-on-minion-data</guid>
	<pubDate>Sun, 03 Dec 2017 15:19:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34504/minion-gc-an-r-script-to-do-some-qc-on-minion-data</link>
	<title><![CDATA[MinION_GC: An R script to do some QC on MinION data]]></title>
	<description><![CDATA[<p><span>Other tools focus on getting data out of the fastq or fast5 files, which is slow and computationally intensive. The benefit of this approach is that it works on a single, small, .txt summary file. So it's a lot quicker than most other things out there: it takes about a minute to analyse a 4GB flowcell on my laptop.</span></p>
<p>https://github.com/roblanf/minion_qc</p><p>Address of the bookmark: <a href="https://github.com/roblanf/minion_qc" rel="nofollow">https://github.com/roblanf/minion_qc</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
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