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	<title>微基生物 &#187; rarefaction</title>
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	<description>您自己的微生态研究团队&#124;专注微生态研究与应用</description>
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		<title>稀释性曲线(rarefaction curve)</title>
		<link>https://www.tinygene.com/statistical-approaches-to-estimating-microbial-diversity/rarefaction-curve</link>
		<comments>https://www.tinygene.com/statistical-approaches-to-estimating-microbial-diversity/rarefaction-curve#comments</comments>
		<pubDate>Wed, 27 Aug 2014 06:15:10 +0000</pubDate>
		<dc:creator><![CDATA[microlinker]]></dc:creator>
				<category><![CDATA[用于微生物多样性的统计方法]]></category>
		<category><![CDATA[rarefaction]]></category>
		<category><![CDATA[稀释曲线]]></category>

		<guid isPermaLink="false">http://tinygenetest.gotoip2.com./?p=389</guid>
		<description><![CDATA[<p>　　稀释性曲线(rarefaction curve)：一般是从样本中随机抽取一定数量的个体，统计出这些个体所代 &#8230;</p>
<p><a rel="nofollow" href="https://www.tinygene.com/statistical-approaches-to-estimating-microbial-diversity/rarefaction-curve">稀释性曲线(rarefaction curve)</a>，首发于<a rel="nofollow" href="https://www.tinygene.com">微基生物</a>。</p>
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				<content:encoded><![CDATA[<p>　　<strong>稀释性曲线(rarefaction curve)</strong>：一般是从样本中随机抽取一定数量的个体，统计出这些个体所代表物种数目，并以个体数与物种数来构建曲线。它可以用来比较测序数量不同的样本物种的丰富度，也可以用来说明样本的取样大小是否合理。分析采用对优化序列进行随机抽样的方法，以抽到的序列数与它们所能代表OTU的数目构建rarefaction curve。稀释性曲线图中，当曲线趋向平坦时，说明取样的数量合理，更多的取样只会产生少量新的<strong>OT</strong>U，反之则表明继续取样还可能产生较多新的OTU。因此，通过作稀释性曲线，可以得出样品的取样深度情况。</p>
<p><strong>稀释性曲线</strong>分析结果</p>
<p>默认是在 97%相似性水平下划分OUT并制作各样品的稀疏曲线。</p>
<p><center><img class="alignnone  wp-image-150" src="http://tinygenetest.gotoip2.com./wp-content/uploads/2014/08/huanjing-9.png" alt="huanjing 9" width="330" height="338" /></center></p>
<p><a rel="nofollow" href="https://www.tinygene.com/statistical-approaches-to-estimating-microbial-diversity/rarefaction-curve">稀释性曲线(rarefaction curve)</a>，首发于<a rel="nofollow" href="https://www.tinygene.com">微基生物</a>。</p>
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