论文标题
虫子作为特征（第一部分）：微生物组 - 脑轴组成数据分析的概念和基础
Bugs as Features (Part I): Concepts and Foundations for the Compositional Data Analysis of the Microbiome-Gut-Brain Axis
论文作者
论文摘要
人们对肠道微生物组的参与（存在于我们肠道中的微生物的集合）越来越多，以调节我们的情绪和行为。该现象称为微生物组 - 脑轴。虽然我们测量这些微生物的存在和丰度的技术一直在稳步改善，但微生物组数据的分析是非平凡的。 在这里，我们介绍了微生物组实验的数据分析的概念和基础的观点，重点是微生物组甲状腺轴轴域。在开始分析之前，我们概述了基础考虑，以及核心微生物组分析方法的α多样性，β多样性，差异特征丰度和功能推断。我们强调组成数据分析（CODA）范式。 此外，这种观点以补充材料中R中的R分析进行了广泛且重大注释的微生物组分析，这是新的和经验丰富的生物信息学家的资源。
There has been a growing acknowledgement of the involvement of the gut microbiome - the collection of microbes that reside in our gut - in regulating our mood and behaviour. This phenomenon is referred to as the microbiome-gut-brain axis. While our techniques to measure the presence and abundance of these microbes have been steadily improving, the analysis of microbiome data is non-trivial. Here, we present a perspective on the concepts and foundations of data analysis and interpretation of microbiome experiments with a focus on the microbiome-gut-brain axis domain. We give an overview of foundational considerations prior to commencing analysis alongside the core microbiome analysis approaches of alpha diversity, beta diversity, differential feature abundance and functional inference. We emphasize the compositional data analysis (CoDA) paradigm. Further, this perspective features an extensive and heavily annotated microbiome analysis in R in the supplementary materials, as a resource for new and experienced bioinformaticians alike.
