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J Proteome Res. 2019 Feb 1;18(2):664-677. doi: 10.1021/acs.jproteome.8b00766. Epub 2019 Jan 15.

GlyConnect: Glycoproteomics Goes Visual, Interactive, and Analytical.

Author information

1
Proteome Informatics Group , SIB Swiss Institute of Bioinformatics , Rue Michel-Servet 1 , CH-1211 Geneva , Switzerland.
2
Computer Science Department , University of Geneva , CH-1227 Geneva , Switzerland.
3
Swiss-Prot Group , SIB Swiss Institute of Bioinformatics , CH-1211 Geneva , Switzerland.
4
Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine , University of Gothenburg , 40530 Gothenburg , Sweden.
5
Institute for Glycomics , Griffith University , Southport , Queensland 4215 , Australia.
6
ARC Centre for Nanoscale BioPhotonics , Macquarie University and Griffith University , Sydney , New South Wales 2109 , Australia.
7
Department of Molecular Sciences , Macquarie University , Sydney , New South Wales 2109 , Australia.
8
Section of Biology , University of Geneva , CH-1211 Geneva , Switzerland.

Abstract

Knowledge of glycoproteins, their site-specific glycosylation patterns, and the glycan structures that they present to their recognition partners in health and disease is gradually being built on using a range of experimental approaches. The data from these analyses are increasingly being standardized and presented in various sources, from supplemental tables in publications to localized servers in investigator laboratories. Bioinformatics tools are now needed to collect these data and enable the user to search, display, and connect glycomics and glycoproteomics to other sources of related proteomics, genomics, and interactomics information. We here introduce GlyConnect ( https://glyconnect.expasy.org/ ), the central platform of the Glycomics@ExPASy portal for glycoinformatics. GlyConnect has been developed to gather, monitor, integrate, and visualize data in a user-friendly way to facilitate the interpretation of collected glycoscience data. GlyConnect is designed to accommodate and integrate multiple data types as they are increasingly produced.

KEYWORDS:

data curation; data integration; data visualization; database; glycan structure; glycomics; glycoprotein; glycoproteomics; mass spectrometry; software

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