Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling.

@article{Choi2008StatisticalVO,
  title={Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling.},
  author={Hyungwon Choi and Debashis Ghosh and Alexey I. Nesvizhskii},
  journal={Journal of proteome research},
  year={2008},
  volume={7 1},
  pages={286-92}
}
Reliable statistical validation of peptide and protein identifications is a top priority in large-scale mass spectrometry based proteomics. PeptideProphet is one of the computational tools commonly used for assessing the statistical confidence in peptide assignments to tandem mass spectra obtained using database search programs such as SEQUEST, MASCOT, or X! TANDEM. We present two flexible methods, the variable component mixture model and the semiparametric mixture model, that remove the… CONTINUE READING

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