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Toward objective evaluation of proteomic algorithms

Nature Methods volume 9, pages 455–456 (2012)Cite this article

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Informatics has driven mass spectrometry–based protein analysis to create large-scale methods for proteomics. As software algorithms have developed, comparisons between algorithms are inevitable. We outline steps for fair and objective comparisons that will make true innovations apparent.

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Acknowledgements

This work was supported by the US National Institutes of Health (P41RR110823, GM103533, R01MH067880, R01DE008921, R2DK09307, RC2DA028845, HHSN268201000035C and P01AG031097 to J.R.Y.; P01AG031097 to S.K.R.P.; R01DE008921, R24DK09307 and RC2DA028845 to C.M.D.; HHSN268201000035C to T.X.; R01MH067880 and F32 AG039127 to J.N.S. and R01MH067880 to D.C.) and DART (SFP-1973 to T.X.)

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Authors and Affiliations

  1. John R. Yates III, Sung Kyu Robin Park, Claire M. Delahunty, Tao Xu, Jeffrey N. Savas and Daniel Cociorva are at the Scripps Research Institute, La Jolla, California, USA.,

    John R Yates III, Sung Kyu Robin Park, Claire M Delahunty, Tao Xu, Jeffrey N Savas & Daniel Cociorva

  2. Paulo Costa Carvalho is at the Instituto Carlos Chagas, Fiocruz, Curitiba, Paraná, Brazil.,

    Paulo Costa Carvalho

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  1. John R Yates III
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  2. Sung Kyu Robin Park
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  3. Claire M Delahunty
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  4. Tao Xu
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  5. Jeffrey N Savas
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  6. Daniel Cociorva
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Correspondence to John R Yates III.

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Yates, J., Park, S., Delahunty, C. et al. Toward objective evaluation of proteomic algorithms. Nat Methods 9, 455–456 (2012). https://doi.org/10.1038/nmeth.1983

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