Community Evaluation of Glycoproteomics Informatics Solutions Reveals High-Performance Search Strategies of Serum N- and O-Glycopeptide Data
R. Kawahara, A. Chernykh, K. Alagesan, M. Bern, W. Cao, R. J. Chalkley, K. Cheng, M. S. Choo, N. Edwards, R. Goldman, M. Hoffmann, Y. Hu, Y. Huang, J. Y. Kim, D. Kletter, , Palmisano
This study evaluates glycoproteomics software performance using human serum datasets, identifies high-performance strategies, and provides recommendations for improved analysis.
bioRxiv · Mar 14, 2021 · PreprintBiochemistry