Toma Keser

This study develops a high-throughput method to analyze site-specific N-glycosylation of fibrinogen in atrial fibrillation patients and identifies glycoforms associated with the condition.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

This paper introduces a cutoff selection algorithm for correlation networks that uses prior knowledge to improve network reconstruction, showing better performance than statistical cutoffs across multiple datasets.

The paper evaluates normalization methods for glycomics data by assessing how well they enable accurate reconstruction of known glycosylation pathway reactions using Gaussian Graphical Models.