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008			101117s2011 xxu| o |||| 0|eng d
020			_a9781607619772
024	7		_a10.1007/978-1-60761-977-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP551 _b2011 EB
245	0	0	_aBioinformatics for Comparative Proteomics _cedited by Cathy H. Wu, Chuming Chen
250			_a1st edition 2011
264		1	_aTotowa, NJ _bHumana Press _c2011
300			_a1 recurso en línea (XIII, 387 páginas)
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 _v694
505	0		_aProtein Bioinformatics Databases and Resources -- A Guide to UniProt for Protein Scientists -- InterPro Protein Classification -- Reactome Knowledgebase of Human Biological Pathways and Processes -- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature -- A Tutorial on Protein Ontology Resources for Proteomic Studies -- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase -- Modeling Mass Spectrometry-Based Protein Analysis -- Protein Identification from Tandem Mass Spectra by Database Searching -- LC-MS Data Analysis for Differential Protein Expression Detection -- Protein Identification by Spectral Networks Analysis -- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline -- Analysis of High-Throughput ELISA Microarray Data -- Proteomics Databases and Repositories -- Preparing Molecular Interaction Data for Publication -- Submitting Proteomics Data to PRIDE Using PRIDE Converter Automated Data Integration and Determination of Posttranslational Modifications with the Protein Inference Engine -- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications -- Phosphoproteome Resource for Systems Biology Research -- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data -- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks -- Time Series Proteome Profiling.
520			_aWith the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts in the field highlight the current status, challenges, open problems, and future trends for developing bioinformatics tools and resources for comparative proteomics research in order to deliver a definitive reference providing both the breadth and depth needed on the subject. Structured in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the systems biology context. Written for the highly successful Methods in Molecular Biology™ series, the contributions in this book provide the meticulous, step-by-step description and implementation advice that is crucial for getting optimal results in the lab. Comprehensive and easy-to-use, Bioinformatics for Comparative Proteomics serves all readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods and future trends in proteomics data analysis, and comparative proteomics in systems biology.
988			_aSpringer_Protocols_2011
650		7	_2embne _9141447 _aEspectrometría de masas
650		7	_2embne _9430647 _aProteómica
776	0	8	_iPrinted edition: _z9781607619765
776	0	8	_iPrinted edition: _z9781607619789
776	0	8	_iPrinted edition: _z9781493957903
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60761-977-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eIG _zSI