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007			cr nn 008mamaa
008			230515s2023 sz | o |||| 0|eng d
020			_a9783031213915
024	7		_a10.1007/978-3-031-21391-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQR60 _b2023 EB
100	1		_aXia, Yinglin _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689701
245	0	0	_aBioinformatic and Statistical Analysis of Microbiome Data : _bFrom Raw Sequences to Advanced Modeling with QIIME 2 and R _cby Yinglin Xia, Jun Sun
250			_a1st ed 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_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).
520			_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.
988			_aSpringer_Computer_2023
650		7	_2embne _9138684 _aMicrobiología _xMétodos estadísticos
700	1		_9689702 _aSun, Jun, _d1968- _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-21391-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _eIG _zSI