Julien A. Mariethoz

The paper trains a hybrid neural network to predict N-glycosylation events and structures from protein sequences using glycosite-flanking data, demonstrating its ability to predict glycan composition and abundance.

This paper introduces GlycoQL, a query language for glycan structure search, and demonstrates its use in analyzing SARS-CoV-2 spike protein glycosylation.

The paper introduces GlyConnect Compozitor, a tool for visualizing and comparing glycan compositions to aid in selecting appropriate compositions for glycoproteomics analysis.

The paper describes an e-infrastructure for recording glycomic mass spectrometric data in compliance with MIRAGE reporting guidelines, enabling standardized data submission to a public repository.