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130626 ||| eng |
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|a 9781597452755
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| 100 |
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|a Matthiesen, Rune
|e [editor]
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| 245 |
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|a Mass Spectrometry Data Analysis in Proteomics
|h Elektronische Ressource
|c edited by Rune Matthiesen
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a Totowa, NJ
|b Humana
|c 2007, 2007
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| 300 |
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|a X, 320 p. 87 illus
|b online resource
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|a to 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
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| 653 |
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|a Cell Biology
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Protein Biochemistry
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| 653 |
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|a Cytology
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| 653 |
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|a Biochemistry
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| 653 |
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|a Biotechnology
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| 653 |
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|a Proteins
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Methods in Molecular Biology
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| 028 |
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|a 10.1385/1597452750
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| 856 |
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|u https://doi.org/10.1385/1597452750?nosfx=y
|x Verlag
|3 Volltext
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|a 572
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| 520 |
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|a Mass 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
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