title: Scoring and validation of tandem MS peptide identification methods.
abstract: A variety of methods are described in the literature to assign peptide sequences to observed tandem MS data. Typically, the identified peptides are associated only with an arbitrary score that reflects the quality of the peptide-spectrum match but not with a statistically meaningful significance measure. In this chapter, we discuss why statistical significance measures can simplify and unify the interpretation of MS-based proteomic experiments. In addition, we also present available software solutions that convert scores into sound statistical measures.
authors.affiliation: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Markus
authors.initials: M
authors.lastname: Brosch
authors.forename: Jyoti
authors.initials: J
authors.lastname: Choudhary
mesh_terms: D030562:Databases, Protein; D010455:Peptides / Q000032:analysis*; D012984:Software; D016008:Statistical Distributions; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D010455:Peptides