This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The 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.

Essential reference for mass spectrometry (MS) in proteomics and glycomics

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.