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020			_a9781607619871
024	7		_a10.1007/978-1-60761-987-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP551.5 _b2011 EB
245	0	0	_aData Mining in Proteomics _b: From Standards to Applications _cedited by Michael Hamacher, Martin Eisenacher, Christian Stephan.
250			_a1st edition 2011
264		1	_aTotowa, NJ _bHumana Press _c2011
300			_a1 recurso en línea (XII, 420 páginas) _b145 ilustraciones, 2 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 _v696
505	0		_aInstruments and Methods in Proteomics -- In-Depth Protein Characterization by Mass Spectrometry -- Analysis of Phosphoproteomics Data -- The Origin and Early Reception of Sequence Databases -- Laboratory Data and Sample Management for Proteomics -- PRIDE and 'Database on Demand' as Valuable Tools for Computational Proteomics -- Analyzing Proteomics Identifications in the Context of Functional and Structural Protein Annotation: Integrating Annotation Using PICR, DAS, and BioMart -- Tranche Distributed Repository and ProteomeCommons.org -- Data Standardization by the HUPO-PSI: How Has the Community Benefitted? -- mzIdentML: An Open Community-Built Standard Format for the Results of Proteomics Spectrum Identification Algorithms -- Spectra, Chromatograms, Metadata: mzML - The Standard Data Format for Mass Spectrometer Output -- imzML: Imaging Mass Spectrometry Markup Language - A Common Data Format for Mass Spectrometry Imaging -- Tandem Mass Spectrometry Spectral Libraries and Library Searching -- Inter-Lab Proteomics: Data Mining in Collaborative Projects on the Basis of the HUPO Brain Proteome Project´s Pilot Studies -- Data Management and Data Integration in the HUPO Plasma Proteome Project -- Statistics in Experimental Design, Preprocessing, and Analysis of Proteomics Data -- The Evolution of Protein Interaction Networks -- Cytoscape: Software for Visualization and Analysis of Biological Networks -- Text Mining for Systems Modelling -- Identification of Alternatively Spliced Transcripts Using a Proteomic Informatics Approach -- Distributions of Ion Series in ETD and CID Spectra: Making a Comparison -- Evaluation of Peak Picking Algorithms for Protein Mass Spectrometry -- OpenMS and TOPP: Open Source Software for LC-MS Data Analysis -- LC/MS Data Processing for Label-Free Quantitative Analysis -- Spectral Properties of Correlation Matrices: Towards Enhanced Spectral Clustering -- Standards, Databases, and Modeling Tools in Systems Biology -- Modelling of Cellular Processes: Methods, Data, and Requirements.
520			_aThrough the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.
988			_aSpringer_Protocols_2011
650		7	_2embne _9430647 _aProteómica
776	0	8	_iPrinted edition: _z9781607619864
776	0	8	_iPrinted edition: _z9781607619888
776	0	8	_iPrinted edition: _z9781493958030
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60761-987-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2023 _dz _ean _zSI