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020 _a9781597452755
024 7 _a10.1385/1597452750
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQP519.9 .M3
_b2007 EB
245 0 0 _aMass Spectrometry Data Analysis in Proteomics
_cedited by Rune Matthiesen
250 _a1st edition 2007
264 1 _aTotowa, NJ
_bHumana Press
_c2007
300 _a1 recurso en línea (X, 320 páginas)
_b87 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
_v367
505 0 _ato Proteomics -- Extracting Monoisotopic Single-Charge Peaks From Liquid Chromatography-Electrospray Ionization-Mass Spectrometry -- Calibration of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Peptide Mass Fingerprinting Spectra -- Protein Identification by Peptide Mass Fingerprinting -- Generating Unigene Collections of Expressed Sequence Tag Sequences for Use in Mass Spectrometry Identification -- Protein Identification by Tandem Mass Spectrometry and Sequence Database Searching -- Virtual Expert Mass Spectrometrist v3.0 -- Quantitation With Virtual Expert Mass Spectrometrist -- Sequence Handling by Sequence Analysis Toolbox v1.0 -- Interpretation of Collision-Induced Fragmentation Tandem Mass Spectra of Posttranslationally Modified Peptides -- Retention Time Prediction and Protein Identification -- Quantitative Proteomics by Stable Isotope Labeling and Mass Spectrometry -- Quantitative Proteomics for Two-Dimensional Gels Using Difference Gel Electrophoresis -- Proteomic Data Exchange and Storage -- Proteomic Data Exchange and Storage -- Organization of Proteomics Data With YassDB -- Analysis of Carbohydrates by Mass Spectrometry -- Useful Mass Spectrometry Programs Freely Available on the Internet.
520 _aMass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible.
988 _aSpringer_Protocols_2007
650 7 _2embne
_9141447
_aEspectrometría de masas
776 0 8 _iPrinted edition:
_z9781617376443
776 0 8 _iPrinted edition:
_z9781588295637
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1385/1597452750
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b11/2023
_dz
_ean
_zSI