An Interactive View of Glycosylation

Julien Mariethoz; Davide Alocci; Niclas G Karlsson; Nicolle H Packer; Frédérique Lisacek

doi:10.1007/978-1-0716-1685-7_3

An Interactive View of Glycosylation

Methods Mol Biol. 2022:2370:41-65. doi: 10.1007/978-1-0716-1685-7_3.

Authors

Julien Mariethoz^{1

2}, Davide Alocci¹, Niclas G Karlsson³, Nicolle H Packer^{4

5}, Frédérique Lisacek⁶

Affiliations

¹ Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
² Computer Science Department, University of Geneva, Geneva, Switzerland.
³ Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
⁴ Department of Molecular Sciences and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia.
⁵ Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
⁶ Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, University of Geneva, Geneva, Switzerland. Frederique.lisacek@sib.swiss.

PMID: 34611864
DOI: 10.1007/978-1-0716-1685-7_3

Abstract

The present chapter focuses on the interactive and explorative aspects of bioinformatics resources that have been recently released in glycobiology. The comparative analysis of data in a field where knowledge is scattered, incomplete, and disconnected from main biology requires efficient visualization, integration, and interactive tools that are currently only partially implemented. This overview highlights converging efforts toward building a consistent picture of protein glycosylation.

Keywords: Data integration and visualization; Glycan expression profile; Glycan structure; Glycoinformatics; Glycoprotein.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology
Glycomics*
Glycosylation
Polysaccharides

Substances

Polysaccharides