Computational and Statistical Analysis of Protein Mass Spectrometry Data

William Stafford Noble; Michael J. MacCoss

doi:10.1371/journal.pcbi.1002296

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Computational and Statistical Analysis of Protein Mass Spectrometry Data

William Stafford Noble ,

* E-mail: william-noble@uw.edu

Affiliations Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America, Department of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America
⨯
Michael J. MacCoss

Affiliation Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
⨯

Computational and Statistical Analysis of Protein Mass Spectrometry Data

William Stafford Noble,
Michael J. MacCoss

Published: January 26, 2012
https://doi.org/10.1371/journal.pcbi.1002296

About the Authors

William Stafford Noble

* E-mail: william-noble@uw.edu

Affiliations Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America, Department of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America

Michael J. MacCoss

Affiliation Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America

Competing Interests

The authors have declared that no competing interests exist.

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Database searching
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Proteomic databases
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Mass spectrometers
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Proteomics
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Experimental design
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Genomics
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Chromatographic techniques
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Machine learning
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