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	<title><![CDATA[BOL: CovCal: Coverage / Read Count Calculator]]></title>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</guid>
	<pubDate>Wed, 15 Jun 2016 18:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</link>
	<title><![CDATA[CovCal: Coverage / Read Count Calculator]]></title>
	<description><![CDATA[<h2>Coverage / Read Count Calculator</h2>
<h4>Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).</h4>
<p><span>Instructions:</span> set the read length/configuration and genome size, then select what you want to calculate.</p>
<p>Written by <a href="http://stephenturner.us/" target="blank">Stephen Turner</a>, based on the <a href="http://www.ncbi.nlm.nih.gov/pubmed/3294162" target="_blank">Lander-Waterman formula</a>, inspired by <a href="http://core-genomics.blogspot.com/2016/05/how-many-reads-to-sequence-genome.html" target="_blank">a similar calculator</a> written by James Hadfield. Coverage is calculated as <em>C=LN/G</em> and reads as <em>N=CG/L</em> where <em>C</em> = Coverage (X),<em>L</em> = Read length (bp), <em>G</em> = Haploid genome size (bp), and <em>N</em> = Number of reads. Source code <a href="https://github.com/stephenturner/covcalc" target="_blank">on GitHub</a>.</p><p>Address of the bookmark: <a href="http://apps.bioconnector.virginia.edu/covcalc/" rel="nofollow">http://apps.bioconnector.virginia.edu/covcalc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink='true'>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator#item-annotation-4052</guid>
	<pubDate>Fri, 30 Sep 2022 06:44:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator#item-annotation-4052</link>
	<title><![CDATA[Comment by Abhi]]></title>
	<description><![CDATA[<p><span>Sequencing coverage</span>&nbsp;is defined as the average number of reads that covers each base of the reference genome.&nbsp;<a href="https://www.illumina.com/documents/products/technotes/technote_coverage_calculation.pdf" target="_blank">Estimating the sequencing coverage</a>&nbsp;is very important when you are simulating datasets. The coverage equation is defined as follows.</p>
<blockquote>
<p>C = LN / G</p>
</blockquote>
<ul>
<li>C is the sequencing coverage</li>
<li>G is the length of the genome</li>
<li>L is the read length</li>
<li>N is the number of reads</li>
</ul>
<p id="e459">For example, if you have a genome of length 5Mbp and you simulate 1,000,000 HiSeq 2000 reads (read length is 100bp), then we will get a sequencing coverage of&nbsp;<code>20x</code>&nbsp;as follows.</p>
<pre><span>C = LN / G = 100 * 1,000,000 / 5,000,000 = 20x</span></pre>]]></description>
	<dc:creator>Abhi</dc:creator>
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