Prediction of error associated with false-positive rate determination for peptide identification in large-scale proteomics experiments using a combined reverse and forward peptide sequence database strategy.

@article{Huttlin2007PredictionOE,
  title={Prediction of error associated with false-positive rate determination for peptide identification in large-scale proteomics experiments using a combined reverse and forward peptide sequence database strategy.},
  author={Edward L. Huttlin and Adrian D. Hegeman and Amy C Harms and Michael R. Sussman},
  journal={Journal of proteome research},
  year={2007},
  volume={6 1},
  pages={392-8}
}
In recent years, a variety of approaches have been developed using decoy databases to empirically assess the error associated with peptide identifications from large-scale proteomics experiments. We have developed an approach for calculating the expected uncertainty associated with false-positive rate determination using concatenated reverse and forward protein sequence databases. After explaining the theoretical basis of our model, we compare predicted error with the results of experiments… CONTINUE READING