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Molecular & Cellular Proteomics 5:1921-1926, 2006.
© 2006 by The American Society for Biochemistry and Molecular Biology, Inc.

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Proteomics Data Analysis

Challenges and Opportunities in Proteomics Data Analysis^*

Bruno Domon^, and Ruedi Aebersold^,¶,||

From the Institute of Molecular Systems Biology, ETH Zurich and ^¶ Faculty of Sciences, University of Zurich, CH-8049 Zurich, Switzerland and ^|| Institute for Molecular Systems Biology, Seattle, Washington 98103

Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.

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