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Automatic Quality Assessment of Peptide Tandem Mass Spectra
Author(s) -
Marshall Bern,
David Theo Goldberg,
W. Hayes McDonald,
John R. Yates
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth947
Subject(s) - computer science , quality (philosophy) , peptide , tandem , quality assurance , computational biology , data mining , chemistry , biology , biochemistry , engineering , operations management , external quality assessment , physics , quantum mechanics , aerospace engineering
A powerful proteomics methodology couples high-performance liquid chromatography (HPLC) with tandem mass spectrometry and database-search software, such as SEQUEST. Such a set-up, however, produces a large number of spectra, many of which are of too poor quality to be useful. Hence a filter that eliminates poor spectra before the database search can significantly improve throughput and robustness. Moreover, spectra judged to be of high quality, but that cannot be identified by database search, are prime candidates for still more computationally intensive methods, such as de novo sequencing or wider database searches including post-translational modifications.

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