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008			230801s2010 xxu| s |||| 0|eng d
020			_a9781607614449
024	7		_a10.1007/978-1-60761-444-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP551 _b2010 EB
245	1	0	_aProteome Bioinformatics _cedited by Simon J. Hubbard, Andrew R. Jones
250			_a1st edition 2010
264		1	_aTotowa, NJ _bHumana Press _c2010
300			_a1 recurso en línea (XII, 404 páginas) _b92 ilustraciones
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 _v604
505	0		_aAn Introduction to Proteome Bioinformatics -- Bioinformatics Methods for Protein Identification Using Peptide Mass Fingerprinting -- Computational Approaches to Peptide Identification via Tandem MS -- Scoring and Validation of Tandem MS Peptide Identification Methods -- Target-Decoy Search Strategy for Mass Spectrometry-Based Proteomics -- Understanding and Exploiting Peptide Fragment Ion Intensities Using Experimental and Informatic Approaches -- Spectral Library Searching for Peptide Identification via Tandem MS -- De Novo Sequencing Methods in Proteomics -- Cross Species Proteomics -- Gene Model Detection Using Mass Spectrometry -- Signal Processing in Proteomics -- A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting -- Mining Proteomic MS/MS Data for MRM Transitions -- OpenMS and TOPP: Open Source Software for LC-MS Data Analysis -- Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis -- Informatics and Statistics for Analyzing 2-D Gel Electrophoresis Images -- Automated Generic Analysis Tools for Protein Quantitation Using Stable Isotope Labeling -- An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry -- The PeptideAtlas Project -- Using the PRIDE Proteomics Identifications Database for Knowledge Discovery and Data Analysis -- Molecular Interactions and Data Standardisation -- Mass Spectrometer Output File Format mzML -- Managing Experimental Data Using FuGE -- Proteomics Data Collection (ProDaC): Publishing and Collecting Proteomics Data Sets in Public Repositories Using Standard Formats -- Computational Resources for the Prediction and Analysis of Native Disorder in Proteins.
520			_aThe field of proteomics moves rapidly, as new methods, techniques, applications, standards, models and software appear almost on a daily basis. In Proteome Bioinformatics, expert researchers explore this ever-changing field, providing the reader with a mix of review and methodology chapters which address the fundamentals of analysis methods, algorithms, data standards and databases. Chapters include practical considerations for analyzing database search results, annotating genomes, speeding up searches, and responding to specific data processing challenges. As a volume 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. Comprehensive and ground-breaking, Proteome Bioinformatics is an essential guidebook for the novice and expert alike, covering topics that address a wide range of data analysis and management problems.
988			_aSpringer_Protocols_2010
650		7	_2embne _9430647 _aProteómica
650		7	_2embne _9160489 _aBioinformática
776	0	8	_iPrinted edition: _z9781607614456
776	0	8	_iPrinted edition: _z9781607614432
776	0	8	_iPrinted edition: _z9781617796807
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60761-444-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b08/2023 _dz _eIG _zSI