Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis

Kawahara, Rebeca; Chernykh, Anastasia; Alagesan, Kathirvel; Bern, Marshall; Cao, Weiqian; J. Chalkley, Robert; Cheng, Kai; S. Choo, Matthew; Edwards, Nathan; Goldman, Radoslav; Hoffmann, Marcus; Hu, Yingwei; Huang, Yifan; Young Kim, Jin; Kletter, Doron; Liquet, Benoît; Liu, Mingqi; Mechref, Yehia; Meng, Bo; Neelamegham, Sriram; Nguyen‐Khuong, Terry; Nilsson, Jonas; Pap, Ádám; Wook Park, Gun; L. Parker, Benjamin; L. Pegg, Cassandra; Penninger, Josef; K. Phung, Toan; Pioch, Markus; Rapp, Erdmann; Sakalli, Enes; Šanda, Miloslav; L. Schulz, Benjamin; E. Scott, Nichollas; Sofronov, Georgy; Stadlmann, Johannes; Y. Vakhrushev, Sergey; M. Woo, Christina; Wu, Hung‐Yi; Yang, Pengyuan; Ying, Wantao; Zhang, Hui; Zhang, Yong; Zhao, Jingfu; Zaia, Joseph; M. Haslam, Stuart; Palmisano, Giuseppe; Shin Yoo, Jong; Larson, Göran; Khoo, Kay‐Hooi; F. Medzihradszky, Katalin; Kolarich, Daniel; H. Packer, Nicolle; Thaysen‐Andersen, Morten

doi:10.1038/s41592-021-01309-x

Public

Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis

Published in Nature Methods • Nov 1, 2021

Authors:

Rebeca Kawahara

Anastasia Chernykh

Kathirvel Alagesan

Abstract

Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this communit...

Subject

Glycoproteomics

Informatics

Glycopeptide

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