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010   $a9783031213915$b(electronic bk.)
010   $z9783031213908
024 7 $a10.1007/978-3-031-21391-5
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035   $a(Au-PeEL)EBL30545029
035   $a(OCoLC)1379437660
035   $a(DE-He213)978-3-031-21391-5
035   $a(BIP)085993125
035   $a(PPN)270617914
035   $a(EXLCZ)9926707048800041
100   $a20230515d2023      u|             0
101 0 $aeng
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181   $ctxt$2rdacontent
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200 10$aBioinformatic and Statistical Analysis of Microbiome Data$b[electronic resource] $eFrom Raw Sequences to Advanced Modeling with QIIME 2 and R /$fby Yinglin Xia, Jun Sun
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (716 pages)
311 08$aPrint version: Xia, Yinglin Bioinformatic and Statistical Analysis of Microbiome Data Cham : Springer International Publishing AG,c2023 9783031213908 
320   $aIncludes bibliographical references and index.
327   $aChapter 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).
330   $aThis 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.
606   $aBioinformatics
606   $aBiometry
606   $aBig data
606   $aMathematical statistics$xData processing
606   $aBiotechnology
606   $aBiomedical engineering
606   $aBioinformatics
606   $aBiostatistics
606   $aBig Data
606   $aStatistics and Computing
606   $aBiotechnology
606   $aBiomedical Engineering and Bioengineering
610   $aMicrobiology
610   $aScience
615  0$aBioinformatics.
615  0$aBiometry.
615  0$aBig data.
615  0$aMathematical statistics$xData processing.
615  0$aBiotechnology.
615  0$aBiomedical engineering.
615 14$aBioinformatics.
615 24$aBiostatistics.
615 24$aBig Data.
615 24$aStatistics and Computing.
615 24$aBiotechnology.
615 24$aBiomedical Engineering and Bioengineering.
676   $a576
700   $aXia$b Yinglin$0767992
702   $aSun$b Jun
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a996547956503316
996   $aBioinformatic and Statistical Analysis of Microbiome Data$93430601
997   $aUNISA