The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.

@article{Shilov2007ThePA,
  title={The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.},
  author={Ignat V Shilov and Sean L. Seymour and Alpesh A. Patel and Alex Loboda and Wilfred H. Tang and Sean P Keating and Christie L. Hunter and Lydia M. Nuwaysir and Daniel A Schaeffer},
  journal={Molecular & cellular proteomics : MCP},
  year={2007},
  volume={6 9},
  pages={1638-55}
}
The Paragon Algorithm, a novel database search engine for the identification of peptides from tandem mass spectrometry data, is presented. Sequence Temperature Values are computed using a sequence tag algorithm, allowing the degree of implication by an MS/MS spectrum of each region of a database to be determined on a continuum. Counter to conventional approaches, features such as modifications, substitutions, and cleavage events are modeled with probabilities rather than by discrete user… CONTINUE READING
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