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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37493?offset=20</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27090/canu-assembling-large-genomes-with-single-molecule-sequencing-and-locality-sensitive-hashing</guid>
	<pubDate>Tue, 26 Apr 2016 11:38:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27090/canu-assembling-large-genomes-with-single-molecule-sequencing-and-locality-sensitive-hashing</link>
	<title><![CDATA[CANU: Assembling Large Genomes with Single-Molecule Sequencing and Locality Sensitive Hashing.]]></title>
	<description><![CDATA[<p>Canu is a fork of the&nbsp;<a href="http://wgs-assembler.sourceforge.net/wiki/index.php?title=Main_Page" title="Celera Assembler">Celera Assembler</a>&nbsp;designed for high-noise single-molecule sequencing (such as the PacBio RSII or Oxford Nanopore MinION). The software is currently alpha level, feel free to use and report issues encountered.</p>
<p>Canu is a hierachical assembly pipeline which runs in four steps:</p>
<ul>
<li>Detect overlaps in high-noise sequences using&nbsp;<a href="https://github.com/marbl/MHAP" title="MHAP">MHAP</a></li>
<li>Generate corrected sequence consensus</li>
<li>Trim corrected sequences</li>
<li>Assemble trimmed corrected sequences</li>
</ul>
<p>Read the&nbsp;<a href="http://canu.readthedocs.org/" title="docs">documentation</a></p>
<p>New release https://github.com/marbl/canu/releases</p><p>Address of the bookmark: <a href="https://github.com/marbl/canu" rel="nofollow">https://github.com/marbl/canu</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43870/quip-aggressive-compression-of-fastq-sam-and-bam-files</guid>
	<pubDate>Tue, 24 May 2022 06:31:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43870/quip-aggressive-compression-of-fastq-sam-and-bam-files</link>
	<title><![CDATA[Quip: Aggressive compression of FASTQ, SAM and BAM files.]]></title>
	<description><![CDATA[<p>This will help us to reduce the amount of drive space we take up and decrease data transfer times</p>
<p dir="auto">Quip compresses next-generation sequencing data with extreme prejudice. It supports input and output in the&nbsp;<a href="http://en.wikipedia.org/wiki/Fastq">FASTQ</a>&nbsp;and&nbsp;<a href="http://samtools.sourceforge.net/">SAM/BAM</a>&nbsp;formats, compressing large datasets to as little as 15% of their original size.</p><p>Address of the bookmark: <a href="https://github.com/dcjones/quip" rel="nofollow">https://github.com/dcjones/quip</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/45346/when-ngs-gives-you-more-data-than-you-ever-asked-for</guid>
	<pubDate>Wed, 23 Sep 2026 10:16:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/45346/when-ngs-gives-you-more-data-than-you-ever-asked-for</link>
	<title><![CDATA[When NGS gives you more data than you ever asked for!]]></title>
	<description><![CDATA[<div><div><div dir="auto"><div><div><p dir="auto"></p></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43957/gfastats-the-swiss-army-knife-for-genome-assembly</guid>
	<pubDate>Thu, 08 Sep 2022 06:03:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43957/gfastats-the-swiss-army-knife-for-genome-assembly</link>
	<title><![CDATA[gfastats: The swiss army knife for genome assembly.]]></title>
	<description><![CDATA[<p><span>gfastats</span><span>&nbsp;is a single fast and exhaustive tool for&nbsp;</span><span>summary statistics</span><span>&nbsp;and simultaneous *fa* (fasta, fastq, gfa [.gz]) genome assembly file&nbsp;</span><span>manipulation</span><span>.&nbsp;</span><span>gfastats</span><span>&nbsp;also allows seamless fasta&lt;&gt;fastq&lt;&gt;gfa[.gz] conversion. It has been tested in genomes even &gt;100Gbp.</span></p><p>Address of the bookmark: <a href="https://github.com/vgl-hub/gfastats" rel="nofollow">https://github.com/vgl-hub/gfastats</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29500/genomescope-open-source-web-tool-to-rapidly-estimate-the-overall-characteristics-of-a-genome-including-genome-size-heterozygosity-rate-and-repeat-content-from-unprocessed-short-reads</guid>
	<pubDate>Fri, 21 Oct 2016 05:46:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29500/genomescope-open-source-web-tool-to-rapidly-estimate-the-overall-characteristics-of-a-genome-including-genome-size-heterozygosity-rate-and-repeat-content-from-unprocessed-short-reads</link>
	<title><![CDATA[GenomeScope: open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads]]></title>
	<description><![CDATA[<div>
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<div id="content-block-markup">
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<div id="abstract-1">
<p id="p-2">Summary: GenomeScope is an open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads. These features are essential for studying genome evolution, and help to choose parameters for downstream analysis. We demonstrate its accuracy on 324 simulated and 16 real datasets with a wide range in genome sizes, heterozygosity levels, and error rates. Availability and Implementation: http://qb.cshl.edu/genomescope/, https://github.com/schatzlab/genomescope.git</p>
</div>
<span></span></div>
<span></span></div>
</div>
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</div><p>Address of the bookmark: <a href="http://qb.cshl.edu/genomescope/" rel="nofollow">http://qb.cshl.edu/genomescope/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29635/r-graphs</guid>
	<pubDate>Fri, 04 Nov 2016 10:48:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29635/r-graphs</link>
	<title><![CDATA[R Graphs !!]]></title>
	<description><![CDATA[<p><span>The blog is a collection of script examples with example data and output plots. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. Self-help codes and examples are provided. Enjoy nice graphs !!</span></p><p>Address of the bookmark: <a href="http://rgraphgallery.blogspot.be/" rel="nofollow">http://rgraphgallery.blogspot.be/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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