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Computational and Statistical Analysis of Protein Mass Spectrometry Data

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  • William Stafford Noble
  • Michael J MacCoss

Abstract

High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computational and statistical problems in the field and then describe a variety of outstanding problems that readers of PLoS Computational Biology might be able to help solve.

Suggested Citation

  • William Stafford Noble & Michael J MacCoss, 2012. "Computational and Statistical Analysis of Protein Mass Spectrometry Data," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-6, January.
    • Handle: RePEc:plo:pcbi00:1002296
    DOI: 10.1371/journal.pcbi.1002296
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    1. Juliane Liepe & Michele Mishto & Kathrin Textoris-Taube & Katharina Janek & Christin Keller & Petra Henklein & Peter Michael Kloetzel & Alexey Zaikin, 2010. "The 20S Proteasome Splicing Activity Discovered by SpliceMet," PLOS Computational Biology, Public Library of Science, vol. 6(6), pages 1-11, June.
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