CheSweet: chemical shifts for glycans
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Updated
Jan 27, 2018 - Python
CheSweet: chemical shifts for glycans
Predicting single-cell glycosylation features from scRNA-seq
A protein-glycan benchmark, ready for use with HADDOCK
Script for quantification of glucosaminoglycans (GAGs) based on Proteome Discoverer output, with web-interface powered by Bokeh
A software library and command-line tool for investigating and working with linear code representations of glycans and regular-expression-like operators.
GNN model to learn latent space representations of glycans on an atomic level
R package for calculation and mass spectrometry annotation of glycans
Community-curated list of software packages and data resources for Glycoscience
GNOme - Glycan Naming and Subsumption Ontology.
The Python software re-glycosylates protein structures using MD simulation results from the glycoshape database. It takes alphafold protein structures as input and outputs modified structures with glycans added at appropriate sites.
A tool to convert IUPAC representations of glycans into SMILES strings.
GlyCombo, a combinatorial glycan composition assignment tool
Deep learning-based language model for glycan sequences
Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]
Predicting glycan structure from LC-MS/MS data
Framework for the rapid modeling glycans and glycoproteins.
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