Cover image for Mass spectrometry data analysis in proteomics
Title:
Mass spectrometry data analysis in proteomics
Series:
Methods in molecular biology ; 367
Publication Information:
Totowa, NJ : Humana Press, 2006
ISBN:
9781588295637
Added Author:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010164128 QP519.9.M3 M37 2007 Open Access Book Book
Searching...

On Order

Summary

Summary

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.


Table of Contents

Rune Matthiesen and Kudzai E. MutendaRune MatthiesenKarin Hjerno and Peter HojrupKarin HjernoJeppe EmmersenAlexey I. NesvizhskiiRune MatthiesenAlbrecht Gruhler and Rune MatthiesenChristian Ravnsborg Ingrell and Rune Matthiesen and Ole Norregaard JensenJakob Bunkenborg and Rune MatthiesenMagnus PalmbladSheng Pan and Ruedi AebersoldDavid B. FriedmanPer Garden and Rikard AlmSandra Orchard and Philip Jones and Chris Taylor and Weimin Zhu and Randall K. Julian, Jr. and Henning Hermjakob and Rolf ApweilerAllan L. Thomsen and Kris Laukens and Rune Matthiesen and Ole Nerregaard JensenKudzai E. Mutenda and Rune MatthiesenRune Matthiesen
Prefacep. v
Contributorsp. ix
1 Introduction to Proteomicsp. 1
2 Extracting Monoisotopic Single-Charge Peaks From Liquid Chromatography-Electrospray Ionization-Mass Spectrometryp. 37
3 Calibration of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Peptide Mass Fingerprinting Spectrap. 49
4 Protein Identification by Peptide Mass Fingerprintingp. 61
5 Generating Unigene Collections of Expressed Sequence Tag Sequences for Use in Mass Spectrometry Identificationp. 77
6 Protein Identification by Tandem Mass Spectrometry and Sequence Database Searchingp. 87
7 Virtual Expert Mass Spectrometrist v3.0: An Integrated Tool for Proteome Analysisp. 121
8 Quantitation With Virtual Expert Mass Spectrometristp. 139
9 Sequence Handling by Sequence Analysis Toolbox v1.0p. 153
10 Interpretation of Collision-Induced Fragmentation Tandem Mass Spectra of Posttranslationally Modified Peptidesp. 169
11 Retention Time Prediction and Protein Identificationp. 195
12 Quantitative Proteomics by Stable Isotope Labeling and Mass Spectrometryp. 209
13 Quantitative Proteomics for Two-Dimensional Gels Using Difference Gel Electrophoresisp. 219
14 Proteomic Data Exchange and Storage: Using Proteiosp. 241
15 Proteomic Data Exchange and Storage: The Need for Common Standards and Public Repositoriesp. 261
16 Organization of Proteomics Data With YassDBp. 271
17 Analysis of Carbohydrates by Mass Spectrometryp. 289
18 Useful Mass Spectrometry Programs Freely Available on the Internetp. 303
Appendixp. 307
Indexp. 313