GlycoDraw: A Python Implementation for Generating High-Quality Glycan Figures

Author(s)

J. Lundstrom, J. Urban, L. THomès & D. Bojar

Sources

10.1101/2023.05.20.541563

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.

Latest news

recognize sialic acid residues on cell surfaces. Pathogens and tumor cells exploit Siglecs to evade...

Glycans are flexible molecules that can adopt multiple conformations, granting them significant biological versatility. However,...

Cellulose, a pivotal component of plant cell walls, is a widely studied biologically derived material...

Fares, M., Imberty, A.  & Titz, A Bacteria often utilize their lectins to promote pathogenesis....