000			03786nam a22003855i 4500
001			232997
003			ES-VaUE
005			20221220020432.0
007			cr nn 008mamaa
008			181008s2018 xxu| s |||| 0|eng d
020			_a9781493987283
024	7		_a10.1007/978-1-4939-8728-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMicrobiome Analysis _bMethods and Protocols _cedited by Robert G. Beiko, Will Hsiao, John Parkinson.
250			_a1st edition 2018
264		1	_aNew York, NY _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XI, 324 páginas) _b82 ilustraciones, 78 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1849
505	0		_aCharacterizing the Deep Terrestrial Subsurface Microbiome -- Freshwater Viromes: From Sampling to Evaluation -- Characterization of Eukaryotic Microbiome using 18S Amplicon Sequencing -- Culture and Molecular Profiling of the Respiratory Tract Microbiota -- Methods and Strategies to Examine the Human Breastmilk Microbiome -- Quantification of Vitamin B12-related Proteins in Marine Microbial Systems Using Selected Reaction Monitoring Mass Spectrometry -- Single-cell Genomics of Microbial Dark Matter -- 16S rRNA Gene Analysis with QIIME2 -- Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow -- Normalization of Microbiome -- Predicting the Functional Potential of the Microbiome from Marker Genes using PICRUSt -- Using Compositional Data Analysis in Meta-transcriptomics -- Subsampled Assemblies and Hybrid Nucleotide Composition/Differential Coverage Binning For Genome-resolved Metagenomics -- Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions -- Constructing and Analyzing Microbiome Networks in RBayesian Inference of Microbial Community Structure from Metagenomic data using BioMiCo -- Analyzing Metabolomic Pathways in Microbiomes -- Sparse Treatment-E_ect Model for Taxon Identi_cation with High-Dimensional Metagenomic Data.
520			_aThis volume aims to capture the entire microbiome analysis pipeline, sample collection, quality assurance, and computational analysis of the resulting data. Chapters detail several example applications of microbiome research, and the protocols described in this book are complemented with short perspectives about the history, current state, and future directions of protocols in microbiomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Microbiome Analysis: Methods and Protocols aims to ensure successful results in the further study of this vital field.
700	1		_aBeiko, Robert G _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHsiao, Will _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aParkinson, John _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493987269
776	0	8	_iPrinted edition: _z9781493987276
776	0	8	_iPrinted edition: _z9781493993765
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-8728-3 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2018
999			_c232997 _d232997