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Spectral library searching in proteomics
Author(s) -
Griss Johannes
Publication year - 2016
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201500296
Subject(s) - computer science , proteomics , matching (statistics) , cluster analysis , spectral clustering , information retrieval , spectral analysis , search engine , data mining , artificial intelligence , biology , physics , mathematics , spectroscopy , biochemistry , statistics , gene , quantum mechanics
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.