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CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version 1.0

机译:CloVR-16S:基于16S核糖体RNA扩增子测序的系统发育微生物群落组成分析–标准操作程序,版本1.0

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摘要

The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets: A) Mothur – a C++-based software package used for clustering 16S rRNA sequences into operational taxonomic units (OTUs). Mothur creates OTUs using a matrix that describes pairwise distances between representative aligned sequences and subsequently estimates within-sample diversity (alpha diversity); B) The Ribosomal Database (RDP) naïve Bayesian classifier assigns each 16S sequence to a reference taxonomy with associated empirical probabilities based on oligonucleotide frequencies; C) Qiime – a python-based workflow package, allowing for sequence processing and phylogenetic analysis using different methods including phylogenetic distance (UniFrac) for within-(alpha diversity) and between-(beta diversity) sample analysis; D) Metastats and custom R scripts used to generate additional statistical and graphical evaluations. Though some of the different protocols used in CloVR-16S overlap in purpose (e.g. OTU clustering), the end-user benefits from their overall complementary nature as they focus on different aspects of the phylogenetic analysis. CloVR-16S accepts as input raw multiplex 454-pyrosequencer output, i.e. pooled pyro-tagged sequences from multiple samples, or alternatively, pre-processed sequences from multiple samples in separate files. This protocol is available in CloVR beta versions 0.5 and 0.6.
机译:CloVR-16S管道采用了几种众所周知的系统发育工具和协议来分析16S rRNA序列数据集: A)Mothur –基于C ++的软件包,用于将16S rRNA序列聚类为可操作的分类单位(OTU)。 Mothur使用矩阵来创建OTU,该矩阵描述了代表性比对序列之间的成对距离,并随后估计了样本内分集(α分集); B)核糖体数据库(RDP)的朴素贝叶斯分类器根据寡核苷酸频率将每个16S序列分配给具有相关经验概率的参考分类法; C)Qiime –一个基于python的工作流程软件包,允许使用不同的方法进行序列处理和系统发育分析,包括系统发育距离(UniFrac)用于内部(α多样性)和(β之间)样本分析; D)用于生成其他统计和图形评估的元数据和自定义R脚本。 尽管CloVR-16S中使用的某些不同协议在目的上有所重叠(例如OTU群集),但最终用户可以从其整体互补性中受益,因为他们专注于系统发育分析的不同方面。 CloVR-16S接受原始的多路复用454-焦磷酸测序仪输出作为输入,即来自多个样本的合并的热标记序列,或者可替代地,来自多个样本的预处理序列在单独的文件中。该协议在CloVR Beta版本0.5和0.6中可用。

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