img Leseprobe Leseprobe

Bioinformatic and Statistical Analysis of Microbiome Data

From Raw Sequences to Advanced Modeling with QIIME 2 and R

Jun Sun, Yinglin Xia

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Biologie

Beschreibung

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.

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Kundenbewertungen

Schlagwörter

Alpha Diversity biostatistics, r biostatistics, RStudio bioinformatics, Bioinformatics Unix, Biostatistics, Microbiome, microbiome bioinformatics, microbiome biostatistics, Beta Diversity biostatistics, Bioinformatic Analysis Metagenomics, Meta-analysis Microbiome Data, Differential Abundance Analysis microbiome, Data analysis microbiome, Bioinformatics, RStudio biostatistics, Longitudinal Data Analysis Microbiome, r bioinformatics, Bioinformatic Next-Generation Sequencing, Compositional Analysis Microbiome Data, Bioinformatics Linux