Assigning significance to peptides identified by tandem mass spectrometry using decoy databases |
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Authors: | Käll Lukas Storey John D MacCoss Michael J Noble William Stafford |
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Institution: | Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. |
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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. |
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