Statistical Analysis of Microbiome Data with R

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.

The book 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.

Table of Contents

Chapter 1 Bioinformatic Analysis Of Microbiome Data
Chapter 2 What Are Microbiome Data?
Chapter 3 Introductory Overview Of Statistical Analysis Of Microbiome Data
Chapter 4 Introduction To R, Rstudio And Ggplot2
Chapter 5 Power And Sample Size Calculations For Microbiome Data
Chapter 6 Community Diversity Measures And Calculations
Chapter 7 Exploratory Analysis Of Microbiome Data And Beyond
Chapter 8 Univariate Community Analysis
Chapter 9 Multivariate Community Analysis
Chapter 10 Compositional Analysis Of Microbiome Data
Chapter 11 Modeling Over-Dispersed Microbiome Data
Chapter 12 Modeling Zero-Inflated Microbiome Data