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This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors' research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research.
Statistical Analysis of Microbiome Data with R also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.
Chapter 1: Introduction to R, RStudio and ggplot2
Chapter 2: What are Microbiome Data?
Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Data
Chapter 4: Power and Sample Size Calculation in Hypothesis Testing Microbiome Data
Chapter 5: Microbiome Data Management
Chapter 6: Exploratory Analysis of Microbiome Data
Chapter 7: Comparisons of Diversities, OTUs and Taxa among Groups
Chapter 8: Community Composition Study
Chapter 9: Modeling Over-dispersed Microbiome Data
Chapter 10: Linear Regression Modeling metadata
Chapter 11: Modeling Zero-Inflated Microbiome Data