<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[16S 微生物数据分析]]></title><description><![CDATA[<p dir="auto"><a href="https://www.nature.com/articles/npjbiofilms20164" rel="nofollow ugc">https://www.nature.com/articles/npjbiofilms20164</a><br />
A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity<br />
对16S中的OTU 方法进行了综述 OTU是根据序列相似性（通常为97%）将reads进行分组的方法  这样做可以把大量的reads分成较少的组 然后每个组取一条代表序列进行下游分析 例如物种鉴定 多序列比对和进化树构建</p>
<p dir="auto">文章中OTU 方式提出了一些质疑</p>
<p dir="auto">进化树部分 使用了RDP数据库 pasta(内部也用了mafft)多序列比对 RAxML树</p>
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]]></description><link>http://an.forum.genostack.com/post/1820</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1820</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Thu, 01 Sep 2022 01:59:53 GMT</pubDate></item></channel></rss>