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This unique book addresses the bioinformatic and statistical
modelling and also the analysis of microbiome data using
cutting-edge QIIME 2 and R software. It covers core analysis topics
in both bioinformatics and statistics, which provides a complete
workflow for microbiome data analysis: from raw sequencing
reads to community analysis and statistical hypothesis testing.
 It includes real-world data from the authors’ research and
from the public domain, and discusses the implementation of QIIME 2
and R for data analysis step-by-step. The data as well as QIIME 2
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. Bioinformatic and Statistical Analysis of Microbiome
Data is an ideal book for advanced graduate students and
researchers in the clinical, biomedical, agricultural, and
environmental fields, as well as those studying bioinformatics,
statistics, and big data analysis.
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.
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