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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36518?offset=490</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</guid>
	<pubDate>Sat, 25 Jan 2020 13:50:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</link>
	<title><![CDATA[Genome in a Bottle (GIAB) Consortium]]></title>
	<description><![CDATA[<p><span>The</span><a href="http://www.genomeinabottle.org/"> Genome in a Bottle (GIAB) Consortium</a><span> is a public-private-academic consortium hosted by </span><a href="http://www.nist.gov/" target="_blank">NIST</a><span> to develop the technical infrastructure (reference standards, reference methods, and reference data) to enable translation of whole human genome sequencing to clinical practice. </span></p>
<p><span><a href="https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes">https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes</a></span></p><p>Address of the bookmark: <a href="https://jimb.stanford.edu/giab/" rel="nofollow">https://jimb.stanford.edu/giab/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42581/autogluon-automl-for-text-image-and-tabular-data</guid>
	<pubDate>Thu, 07 Jan 2021 05:33:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42581/autogluon-automl-for-text-image-and-tabular-data</link>
	<title><![CDATA[AutoGluon: AutoML for Text, Image, and Tabular Data]]></title>
	<description><![CDATA[<p><span>AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on text, image, and tabular data.</span></p><p>Address of the bookmark: <a href="https://github.com/awslabs/autogluon" rel="nofollow">https://github.com/awslabs/autogluon</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44742/nasa-open-science-data-repository</guid>
	<pubDate>Wed, 18 Dec 2024 11:54:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44742/nasa-open-science-data-repository</link>
	<title><![CDATA[NASA Open Science Data Repository]]></title>
	<description><![CDATA[<p><span>The NASA Open Science Data Repository (OSDR) enables access to space-related data from experiments and missions that investigate biological and health responses of terrestrial life to spaceflight. The goal of OSDR is to enable multi-modal and multi-hierarchical fundamental space life science data be reused toward basic science, applied science, and operational outcomes for space exploration and knowledge discovery. These data include &lsquo;omics, phenotypic, physiological, behavioral, hardware, environmental telemetry; raw, processed; tabular, text, code, bioimaging, and video.</span></p>
<p><span>https://www.nasa.gov/reference/osdr-data-processing/</span></p><p>Address of the bookmark: <a href="https://www.nasa.gov/osdr/" rel="nofollow">https://www.nasa.gov/osdr/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32855/maf2synteny</guid>
	<pubDate>Thu, 18 May 2017 05:31:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32855/maf2synteny</link>
	<title><![CDATA[maf2synteny]]></title>
	<description><![CDATA[<p>A tool for converting for recovering synteny blocks from multiple alignment (in MAF fromat)</p>
<p>This tool is a standalone version of Ragout module [<a href="http://fenderglass.github./Ragout">http://fenderglass.github./Ragout</a>]</p><p>Address of the bookmark: <a href="https://github.com/fenderglass/maf2synteny" rel="nofollow">https://github.com/fenderglass/maf2synteny</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34571/mugsy-multiple-whole-genome-alignment-tool</guid>
	<pubDate>Fri, 08 Dec 2017 17:41:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34571/mugsy-multiple-whole-genome-alignment-tool</link>
	<title><![CDATA[Mugsy: multiple whole genome alignment tool]]></title>
	<description><![CDATA[<p><span>Mugsy is a multiple whole genome aligner. Mugsy uses Nucmer for pairwise alignment, a custom graph based segmentation procedure for identifying collinear regions, and the segment-based progressive multiple alignment strategy from Seqan::TCoffee. Mugsy accepts draft genomes in the form of multi-FASTA files and does not require a reference genome.</span></p>
<p>To cite Mugsy, use:</p>
<p>Angiuoli SV and Salzberg SL.&nbsp;<a href="http://bioinformatics.oxfordjournals.org/content/27/3/334">Mugsy: Fast multiple alignment of closely related whole genomes.</a><em>Bioinformatics</em>&nbsp;2011 27(3):334-4</p><p>Address of the bookmark: <a href="http://mugsy.sourceforge.net/" rel="nofollow">http://mugsy.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</guid>
	<pubDate>Wed, 14 Nov 2018 04:34:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</link>
	<title><![CDATA[ANItools web: a web tool for fast genome comparison within multiple bacterial strains]]></title>
	<description><![CDATA[<p><span>ANItools is a software package written by PERL scripts that can be run in a Linux/Unix system. If you want to compare bacterial genomes and calculate their average nucleotide identity (ANI), you could download and run this program directly. Or you could send us the genome sequence by email. Then we will do the analysis work for you.</span></p>
<p><span>https://academic.oup.com/database/article/doi/10.1093/database/baw084/2630454</span></p><p>Address of the bookmark: <a href="http://ani.mypathogen.cn/" rel="nofollow">http://ani.mypathogen.cn/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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