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001			233283
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005			20221220020449.0
007			cr nn 008mamaa
008			200117s2020 xxu| s |||| 0|eng d
020			_a9781071602393
024	7		_a10.1007/978-1-0716-0239-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aComputational Methods and Data Analysis for Metabolomics _cedited by Shuzhao Li.
250			_a1st edition 2020
264		1	_aNew York, NY _bSpringer International Publising _c2020
300			_a1 recurso en línea (XI, 491 páginas) _b175 ilustraciones, 119 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 _v2104
505	0		_aOverview of Experimental Methods and Study Design in Metabolomics, and Statistical and Pathway Considerations -- Metabolomics Data Processing using XCMS -- Metabolomics Data Preprocessing using ADAP and MZmine 2 -- Metabolomics Data Processing using OpenMS -- Analysis of NMR Metabolomics Data -- Key Concepts Surrounding Studies of Stable Isotope Resolved Metabolomics -- Extracting Biological Insight from Untargeted Lipidomics Data -- Overview of Tandem Mass Spectral and Metabolite Databases for Metabolite Identification in Metabolomics -- METLIN: A Metabolite Mass Spectral Database -- Metabolomic Data Exploration and Analysis with the Human Metabolome Database -- De Novo Molecular Formula Annotation and Structure Elucidation using SIRIUS 4 -- Annotation of Specialized Metabolites from High-throughput and High-resolution Mass Spectrometry Metabolomics -- Feature Based Molecular Networking for Metabolite Annotation. A Bioinformatics Primer to Data Science, with Examples for Metabolomics -- The Essential Toolbox of Data Science: Python, R, Git and Docker -- Predictive Modeling for Metabolomics Data -- Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data -- Using Genome Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data -- Pathway Analysis for Targeted and Untargeted Metabolomics -- Application of Metabolomics to Renal and Cardiometabolic Diseases -- Using the IDEOM Workflow for LCMS-Based Metabolomics Studies of Drug Mechanisms -- Analyzing Metabolomics Data for Environmental Health and Exposome Research -- Network-based Approaches for Multi-omics Integration. .
520			_aThis book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data. Chapters guide readers through common tools for data processing, using database resources, major techniques in data analysis, and integration with other data types and specific scientific domains. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, practical guidance of methods and techniques, useful web supplements, and connect the steps from experimental metabolomics to scientific discoveries. Authoritative and cutting-edge, Computational Methods and Data Analysis for Metabolomics to ensure successful results in the further study of this vital field.
700	1		_aLi, Shuzhao _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781071602386
776	0	8	_iPrinted edition: _z9781071602409
776	0	8	_iPrinted edition: _z9781071602416
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-0239-3 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2020
999			_c233283 _d233283