title: Spectral library searching in proteomics.
abstract: Spectral library searching has become a mature method to identify tandem mass spectra in proteomics data analysis. This review provides a comprehensive overview of available spectral library search engines and highlights their distinct features. Additionally, resources providing spectral libraries are summarized and tools presented that extend experimental spectral libraries by simulating spectra. Finally, spectrum clustering algorithms are discussed that utilize the same spectrum-to-spectrum matching algorithms as spectral library search engines and allow novel methods to analyse proteomics data.
authors.affiliation: Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna, Austria.|European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Johannes
authors.initials: J
authors.lastname: Griss
mesh_terms: D000465:Algorithms; D030562:Databases, Protein; D019151:Peptide Library; D040901:Proteomics / Q000379:methods*; D057386:Search Engine; D053719:Tandem Mass Spectrometry / Q000379:methods
chemical_list: D019151:Peptide Library
keywords: Bioinformatics; Spectral libraries; Spectral library searching; Spectrum clustering