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Bioinformatic and statistical analys...

Xia, Yinglin.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bioinformatic and statistical analysis of microbiome data/ by Yinglin Xia, Jun Sun.
其他題名:	from raw sequences to advanced modeling with QIIME 2 and R /
作者:	Xia, Yinglin.
其他作者:	Sun, Jun.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	1 online resource (xxvi, 703 p.) :ill., digital ;24 cm.
內容註:	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)
Contained By:	Springer Nature eBook
標題:	Microbiology - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-3-031-21391-5
ISBN:	9783031213915

Bioinformatic and statistical analysis of microbiome data = from 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

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

927762
Microbiology
--Statistical methods.

LC Class. No.: QR60

Dewey Class. No.: 579.17

Bioinformatic and statistical analysis of microbiome data = from 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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