GlycoDraw: a python implementation for generating high-quality glycan figures.

Glycan Glycobiology Python SNFG Visualization

Journal

Glycobiology
ISSN: 1460-2423
Titre abrégé: Glycobiology
Pays: England
ID NLM: 9104124

Informations de publication

Date de publication:
27 Jul 2023
Historique:
received: 20 05 2023
revised: 14 07 2023
accepted: 26 07 2023
medline: 27 7 2023
pubmed: 27 7 2023
entrez: 27 7 2023
Statut: aheadofprint

Résumé

Glycans are essential to all scales of biology, with their intricate structures being crucial for their biological functions. The structural complexity of glycans is communicated through simplified and unified visual representations according to the Symbol Nomenclature for Glycans (SNFG) guidelines adopted by the community. Here, we introduce GlycoDraw, a Python-native implementation for high-throughput generation of high-quality, SNFG-compliant glycan figures with flexible display options. GlycoDraw is released as part of our glycan analysis ecosystem, glycowork, facilitating integration into existing workflows by enabling fully automated annotation of glycan-related figures and thus assisting the analysis of e.g. differential abundance data or glycomics mass spectra.

Identifiants

pubmed: 37498172
pii: 7232175
doi: 10.1093/glycob/cwad063
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Auteurs

Jon Lundstrøm (J)

Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

James Urban (J)

Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Luc Thomès (L)

Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Daniel Bojar (D)

Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Classifications MeSH