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Mass Spectrometric Protein Identification Using the Global Proteome Machine

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Computational Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 673))

Abstract

Protein identification by mass spectrometry is widely used in biological research. Here, we describe how the global proteome machine (GPM) can be used for protein identification and for validation of the results. We cover identification by searching protein sequence collections and spectral libraries as well as validation of the results using expectation values, rho-diagrams, and spectrum databases.

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Acknowledgments

This work was supported by funding provided by the National Institutes of Health Grants RR00862 and RR022220, the Carl Trygger foundation, and the Swedish research council.

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Authors and Affiliations

  1. The Rockefeller University, New York, NY, USA

    David Fenyö

  2. Department of Chemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden

    Jan Eriksson

  3. The Biomedical Research Centre, University of British Columbia, Vancouver, BC, Canada

    Ronald Beavis

Authors
  1. David Fenyö
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  2. Jan Eriksson
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  3. Ronald Beavis
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Corresponding author

Correspondence to David Fenyö .

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Editors and Affiliations

  1. The Rockefeller University, York Avenue 1230, New York, 10065, New York, USA

    David Fenyö

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Fenyö, D., Eriksson, J., Beavis, R. (2010). Mass Spectrometric Protein Identification Using the Global Proteome Machine. In: Fenyö, D. (eds) Computational Biology. Methods in Molecular Biology, vol 673. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-842-3_11

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  • DOI: https://doi.org/10.1007/978-1-60761-842-3_11

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-60761-841-6

  • Online ISBN: 978-1-60761-842-3

  • eBook Packages: Springer Protocols

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