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Mass Spectrometry Data Analysis in Proteomics

  • Book
  • © 2007

Overview

  • Essential reference for mass spectrometry (MS) in proteomics and glycomics
  • Concise protocols for optimizing search parameters in MS search engines
  • Practical guide to MS data analysis and bioinformatics
  • Thorough review of available databases for proteomics researchers
  • Includes supplementary material: sn.pub/extras

Part of the book series: Methods in Molecular Biology (MIMB, volume 367)

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Table of contents (18 protocols)

Keywords

About this book

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.

Editors and Affiliations

  • Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark

    Rune Matthiesen

Bibliographic Information

  • Book Title: Mass Spectrometry Data Analysis in Proteomics

  • Editors: Rune Matthiesen

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1385/1597452750

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Humana Press 2007

  • Hardcover ISBN: 978-1-58829-563-7Published: 15 November 2006

  • Softcover ISBN: 978-1-61737-644-3Published: 19 November 2010

  • eBook ISBN: 978-1-59745-275-5Published: 02 February 2008

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: X, 320

  • Number of Illustrations: 87 b/w illustrations

  • Topics: Biochemistry, general, Cell Biology, Bioinformatics, Biotechnology, Proteomics

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