title: Quality assessments of peptide-spectrum matches in shotgun proteomics.
abstract: The peptide identification process in shotgun proteomics is most frequently solved with search engines. Such search engines assign scores that reflect similarity between the measured fragmentation spectrum and the theoretical spectra of the peptides of a given database. However, the scores from most search engines do not have a direct statistical interpretation. To understand and make use of the significance of peptide identifications, one must thus be familiar with some statistical concepts. Here, we discuss different statistical scores used to show the confidence of an identification and a set of methods to estimate these scores. We also describe the variance of statistical scores and imperfections of scoring functions of peptide-spectrum matches.
authors.affiliation: Department of Biochemistry and Biophysics, Center for Biomembrane Research, Stockholm University, Stockholm, Sweden.
authors.forename: Viktor
authors.initials: V
authors.lastname: Granholm
authors.forename: Lukas
authors.initials: L
authors.lastname: Käll
mesh_terms: D000704:Analysis of Variance; D019295:Computational Biology; D030562:Databases, Protein; D015233:Models, Statistical; D010455:Peptides / Q000737:chemistry / Q000302:isolation & purification; D040901:Proteomics / Q000379:methods / Q000592:standards* / Q000706:statistics & numerical data; D011786:Quality Control; D057386:Search Engine; D053719:Tandem Mass Spectrometry / Q000592:standards / Q000706:statistics & numerical data
chemical_list: D010455:Peptides