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The PeptideAtlas Project

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Proteome Bioinformatics

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 604))

Abstract

PeptideAtlas is a multi-species compendium of peptides observed with tandem mass spectrometry methods. Raw mass spectrometer output files are collected from the community and reprocessed through a uniform analysis and validation pipeline that continues to advance. The results are loaded into a database and the information derived from the raw data is returned to the community via several web-based data exploration tools. The PeptideAtlas resource is useful for experiment planning, improving genome annotation, and other data mining projects. PeptideAtlas has become especially useful for planning targeted proteomics experiments.

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Acknowledgments

The PeptideAtlas Project has involved a great many contributors. The author would like to thank the following for their contributions to the design and implementation of PeptideAtlas: Dave Campbell, Nichole King, Luis Mendoza, David Shteynberg, Natalie Tasman, Abhishek Pratap, Pat Moss, Jimmy Eng, Ning Zhang, Frank Desiere, Terry Farrah, Zhi Sun, Michael Johnson, and Ruedi Aebersold.

The author has been funded in part with Federal funds from the National Heart, Lung, and Blood Institute, National Institutes of Health, under contract No. N01-HV-28179, and from PM50 GMO76547/Center for Systems Biology.

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Authors and Affiliations

  1. Institute for Systems Biology, Seattle, WA, USA

    Eric W. Deutsch

Authors
  1. Eric W. Deutsch
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Correspondence to Eric W. Deutsch .

Editor information

Editors and Affiliations

  1. Fac. Life Sciences, University of Manchester, Oxford Rd., Manchester, M13 9PT, United Kingdom

    Simon J. Hubbard

  2. Fac. Veterinary Science, University of Liverpool, Liverpool, L69 7ZJ, United Kingdom

    Andrew R. Jones

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© 2010 Humana Press, a part of Springer Science+Business Media, LLC

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Deutsch, E.W. (2010). The PeptideAtlas Project. In: Hubbard, S., Jones, A. (eds) Proteome Bioinformatics. Methods in Molecular Biology™, vol 604. Humana Press. https://doi.org/10.1007/978-1-60761-444-9_19

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  • DOI: https://doi.org/10.1007/978-1-60761-444-9_19

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-443-2

  • Online ISBN: 978-1-60761-444-9

  • eBook Packages: Springer Protocols

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