Benutzer: Gast  Login
Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Zeitschriftentitel:
Molecular & Cellular Proteomics
Jahr:
2021
Band / Volume:
20
Seitenangaben Beitrag:
100076
Volltext / DOI:
doi:10.1016/j.mcpro.2021.100076
Verlag / Institution:
Elsevier BV
E-ISSN:
1535-9476
Publikationsdatum:
01.01.2021
 BibTeX