Dec 11, 2007

Assigning significance to peptides identified by tandem mass spectrometry using decoy databases

Journal of Proteome Research
Lukas KällWilliam Stafford Noble

Abstract

Automated methods for assigning peptides to observed tandem mass spectra typically return a list of peptide-spectrum matches, ranked according to an arbitrary score. In this article, we describe methods for converting these arbitrary scores into more useful statistical significance measures. These methods employ a decoy sequence database as a model of the null hypothesis, and use false discovery rate (FDR) analysis to correct for multiple testing. We first describe a simple FDR inference method and then describe how estimating and taking into account the percentage of incorrectly identified spectra in the entire data set can lead to increased statistical power.

  • References20
  • Citations278

References

  • References20
  • Citations278

Mentioned in this Paper

Two-Parameter Models
Tandem Mass Spectrometry
Tandem
Polypeptides

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