Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit

Machine learning (ML) and deep learning (DL) models for peptide property prediction such as Prosit have enabled the creation of high quality in silico reference libraries. These libraries are used in various applications, ranging from data‐independent acquisition (DIA) data analysis to data‐driven r...

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Bibliographic Details
Published in:	Proteomics (Weinheim) Vol. 24; no. 8; pp. e2300112 - n/a
Main Authors:	Picciani, Mario, Gabriel, Wassim, Giurcoiu, Victor‐George, Shouman, Omar, Hamood, Firas, Lautenbacher, Ludwig, Jensen, Cecilia Bang, Müller, Julian, Kalhor, Mostafa, Soleymaniniya, Armin, Kuster, Bernhard, The, Matthew, Wilhelm, Mathias
Format:	Journal Article
Language:	English
Published:	Germany Wiley Subscription Services, Inc 01.04.2024
Subjects:	bioinformatics bottom‐up proteomics Data analysis data processing and analysis Deep learning Libraries Machine learning mass spectrometry LC‐MS/MS Proteomics Python Search engines technology bottom‐up proteomics technology data processing and analysis bioinformatics mass spectrometry LC‐MS/MS
ISSN:	1615-9853, 1615-9861, 1615-9861
Online Access:	Get full text
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