Abstract

An algorithm for protein identification based on mass spectrometric proteolytic peptide mapping and genome database searching is presented. The algorithm ranks database proteins based on direct calculation of the probability of random matching and assigns the statistical significance to each result. We investigate the performance of the algorithm by simulation and show that the algorithm responds to random data in the desired manner and that the statistical significance computed indicates the risk that a particular identification result is false

Published in

Journal of Proteome Research
2004, Volume: 3, number: 1, pages: 32-36
Publisher: AMER CHEMICAL SOC

SLU Authors

• Eriksson, Jan

  • Department of Molecular Sciences, Swedish University of Agricultural Sciences
    

Publication identifier

DOI: https://doi.org/10.1021/pr034048y

Permanent link to this page (URI)

https://res.slu.se/id/publ/2898