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
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.