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Title:

Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics

Document type:
Zeitschriftenaufsatz
Author(s):
Verbruggen, Steven; Gessulat, Siegfried; Gabriels, Ralf; Matsaroki, Anna; Van de Voorde, Hendrik; Kuster, Bernhard; Degroeve, Sven; Martens, Lennart; Van Criekinge, Wim; Wilhelm, Mathias; Menschaert, Gerben
Abstract:
Proteogenomics approaches often struggle with the distinction between true and false peptide-to-spectrum matches as the database size enlarges. However, features extracted from tandem mass spectrometry intensity predictors can enhance the peptide identification rate and can provide extra confidence for peptide-to-spectrum matching in a proteogenomics context. To that end, features from the spectral intensity pattern predictors MS2PIP and Prosit were combined with the canonical scores from MaxQua...     »
Journal title:
Molecular & Cellular Proteomics
Year:
2021
Journal volume:
20
Pages contribution:
100076
Fulltext / DOI:
doi:10.1016/j.mcpro.2021.100076
Publisher:
Elsevier BV
E-ISSN:
1535-9476
Date of publication:
01.01.2021
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