Spectral library searching in proteomics. Issue 5 (9th February 2016)

• Record Type: Journal Article
• Authors: Griss, Johannes
• Other Names: Dunn Michael J. guestEditor.
• Is Part Of: Proteomics. Volume 16:Issue 5(2016)
• Page Start: 729
• Page End: 740
• Publication Date: 2016-02-09
• Subjects: Bioinformatics -- Spectral libraries -- Spectral library searching -- Spectrum clustering; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201500296
• Languages: English
• ISSNs: 1615-9853

Abstract

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.