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Bioinformatic and statistical analysis of microbiome datafrom raw sequences to advanced modeling with QIIME 2 and R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioinformatic and statistical analysis of microbiome databy Yinglin Xia, Jun Sun.
Reminder of title:	from raw sequences to advanced modeling with QIIME 2 and R /
Author:	Xia, Yinglin.
other author:	Sun, Jun.
Published:	Cham :Springer International Publishing :2023.
Description:	1 online resource (xxvi, 703 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	MicrobiologyStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-031-21391-5
ISBN:	9783031213915$q(electronic bk.)

Bioinformatic and statistical analysis of microbiome datafrom raw sequences to advanced modeling with QIIME 2 and R /
Xia, Yinglin.

Bioinformatic and statistical analysis of microbiome datafrom raw sequences to advanced modeling with QIIME 2 and R /[electronic resource] :by Yinglin Xia, Jun Sun. - Cham :Springer International Publishing :2023. - 1 online resource (xxvi, 703 p.) :ill., digital ;24 cm.

Chapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional)

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.

ISBN: 9783031213915$q(electronic bk.)

Standard No.: 10.1007/978-3-031-21391-5doiSubjects--Topical Terms:

308638
Microbiology
--Statistical methods.

LC Class. No.: QR60

Dewey Class. No.: 579.17

Bioinformatic and statistical analysis of microbiome datafrom raw sequences to advanced modeling with QIIME 2 and R /
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520 $a 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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