Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
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DOI：
10.1139/cjm-2015-0821
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发表时间：
2016-08-01
影响因子：
2.8
通讯作者：
Reid, Gregor
中科院分区：
文献类型：
--
作者：
Gloor, Gregory B.;Reid, Gregor
在加拿大微生物学家学会2015年年会上举办的一次讲习班强调了成分数据分析方法和探索性数据分析对于分析高通量DNA测序产生的微生物组数据集的重要性。本文介绍了该讲习班的内容摘要、对新的分析方法的审查以及关于仔细分析的重要性的信息。讲习班的重点是解释使用成分数据分析的基本原理，并演示这些方法以检查2个微生物组数据集。鉴于越来越多的研究揭示了微生物组在健康和疾病中的关键作用，以及需要了解其组成和功能在粪便移植、益生菌、饮食和药物干预后的变化，清楚地了解生物信息学方法和正在分析的数据类型是至关重要的。
A workshop held at the 2015 annual meeting of the Canadian Society of Microbiologists highlighted compositional data analysis methods and the importance of exploratory data analysis for the analysis of microbiome data sets generated by high-throughput DNA sequencing. A summary of the content of that workshop, a review of new methods of analysis, and information on the importance of careful analyses are presented herein. The workshop focussed on explaining the rationale behind the use of compositional data analysis, and a demonstration of these methods for the examination of 2 microbiome data sets. A clear understanding of bioinformatics methodologies and the type of data being analyzed is essential, given the growing number of studies uncovering the critical role of the microbiome in health and disease and the need to understand alterations to its composition and function following intervention with fecal transplant, probiotics, diet, and pharmaceutical agents.