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Bioinformatic and Statistical Analysis of Microbiome Data
From Raw Sequences to Advanced Modeling with QIIME 2 and R
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This unique book addresses bioinformatic and biostatistical modelling and also the analysis of microbiome data using cutting-edge R software. It covers core analysis topics in both bioinformatics and biostatistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analyses and statistical hypothesis testing. It includes real-world data from the authors' research and from the public domain, and discusses the step-by-step implementation of R for data analysis. 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. Bioinformatic and Biostatistical Analyses of Microbiome Data Using R 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.
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