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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42017?offset=50</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</guid>
	<pubDate>Wed, 24 May 2017 08:41:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</link>
	<title><![CDATA[Grinder / Biogrinder - A versatile omics shotgun and amplicon sequencing read simulator]]></title>
	<description><![CDATA[<p><span>Grinder is a versatile program to create random shotgun and amplicon sequence libraries based on DNA, RNA or proteic reference sequences provided in a FASTA file. </span></p>
<p><span>Grinder can produce genomic, metagenomic, transcriptomic, metatranscriptomic, proteomic, metaproteomic shotgun and amplicon datasets from current sequencing technologies such as Sanger, 454, Illumina. These simulated datasets can be used to test the accuracy of bioinformatic tools under specific hypothesis, e.g. with or without sequencing errors, or with low or high community diversity. Grinder may also be used to help decide between alternative sequencing methods for a sequence-based project, e.g. should the library be paired-end or not, how many reads should be sequenced.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/biogrinder/files/biogrinder/" rel="nofollow">https://sourceforge.net/projects/biogrinder/files/biogrinder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35543/genometools-the-versatile-open-source-genome-analysis-software</guid>
	<pubDate>Wed, 07 Feb 2018 10:44:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35543/genometools-the-versatile-open-source-genome-analysis-software</link>
	<title><![CDATA[GenomeTools: The versatile open source genome analysis software]]></title>
	<description><![CDATA[<p>The&nbsp;<em>GenomeTools</em>&nbsp;genome analysis system is a&nbsp;<a href="http://genometools.org/license.html">free</a>&nbsp;collection of bioinformatics&nbsp;<a href="http://genometools.org/tools.html">tools</a>&nbsp;(in the realm of genome informatics) combined into a single binary named&nbsp;<em>gt</em>. It is based on a C library named &ldquo;libgenometools&rdquo; which consists of several modules.</p>
<p>If you are interested in gene prediction, have a look at&nbsp;<a href="http://genomethreader.org/" title="GenomeThreader gene prediction        software"><em>GenomeThreader</em></a>.</p><p>Address of the bookmark: <a href="http://genometools.org/" rel="nofollow">http://genometools.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41875/virtualflow-a-versatile-parallel-workflow-platform-for-carrying-out-virtual-screening</guid>
	<pubDate>Sat, 13 Jun 2020 13:03:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41875/virtualflow-a-versatile-parallel-workflow-platform-for-carrying-out-virtual-screening</link>
	<title><![CDATA[VirtualFlow: a versatile, parallel workflow platform for carrying out virtual screening]]></title>
	<description><![CDATA[<p>&nbsp;related tasks on Linux-based computer clusters of any type and size which are managed by a batchsystem&nbsp;(such as SLURM).&nbsp;</p>
<p>Currently, there exist two versions of VirtualFlow, which are tailored to different types of tasks:</p>
<ul>
<li><strong><a href="https://virtual-flow.org/#vflp">VFLP: VirtualFlow for Ligand Preparation</a></strong></li>
<li><strong><a href="https://virtual-flow.org/#vfvs"><strong>VFVS</strong><strong>&nbsp;:</strong>&nbsp;VirtualFlow for Virtual Screenings</a></strong></li>
</ul>
<p>They use the same core technology regarding the workflow management and parallelization, and they can be used individually&nbsp;or in concert with each other.&nbsp;Additional versions are expected to arrive in the future.&nbsp;</p>
<p><a href="https://github.com/VirtualFlow">https://github.com/VirtualFlow</a></p>
<p><a href="https://www.nature.com/articles/s41586-020-2117-z">https://www.nature.com/articles/s41586-020-2117-z?</a></p><p>Address of the bookmark: <a href="https://virtual-flow.org/" rel="nofollow">https://virtual-flow.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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