000			02342nam a2200385Ia 4500
000			03203nam a22004215i 4500
001			978-3-031-21391-5
003			DE-He213
005			20240319121016.0
007			cr nn 008mamaa
008			230515s2023 sz | s |||| 0|eng d
020			_a9783031213915 _9978-3-031-21391-5
082			_a570.285
100			_aXia, Yinglin. _935196
245			_aBioinformatic and Statistical Analysis of Microbiome Data _cby Yinglin Xia, Jun Sun. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aXXVI, 703 p. 75 illus., 59 illus. in color. _bonline resource.
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.
650			_aBig data. _935197
650			_aBig Data. _935198
650			_aBioinformatics. _935199
650			_aBioinformatics. _935199
650			_aBiomedical Engineering and Bioengineering. _935200
650			_aBiomedical engineering. _935201
650			_aBiometry. _935202
650			_aBiostatistics. _935203
650			_aBiotechnology. _935204
650			_aBiotechnology. _935204
650			_aMathematical statistics _935205
650			_aStatistics and Computing. _935206
700			_aSun, Jun. _935207
856			_uhttps://doi.org/10.1007/978-3-031-21391-5
942			_cEBK _2ddc
999			_c15539 _d15539