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| 020 | _a9781597452755 | ||
| 024 | 7 |
_a10.1385/1597452750 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQP519.9 .M3 _b2007 EB |
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| 245 | 0 | 0 |
_aMass Spectrometry Data Analysis in Proteomics _cedited by Rune Matthiesen |
| 250 | _a1st edition 2007 | ||
| 264 | 1 |
_aTotowa, NJ _bHumana Press _c2007 |
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| 300 |
_a1 recurso en línea (X, 320 páginas) _b87 ilustraciones |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 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 |
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| 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 |
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| 998 |
_b11/2023 _dz _ean _zSI |
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