Package for processing and analyzing glycans and their role in biology.

Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]

GlyCombo, a combinatorial glycan composition assignment tool

A Python framework for the rapid modeling of glycans

Deep learning model to predict interactions between proteins and glycans [LEGACY; use glycowork implementation]

A glycogene ontology describing the functions they perform and their involvement in glycosylation pathways

R scripts for analysis of DI-, GC- and LC-MS data

Community-curated list of software packages and data resources for Glycoscience

R package for calculation and mass spectrometry annotation of glycans

GNN model to learn latent space representations of glycans on an atomic level

Command line executable tool to calculate all possible glycan molecules and the m/z values of their ions given a set up input parameters.

R package for annotation of glycans in MS1 and MS2 data

This repository includes the codes used for channel capacity calculation present in Fuchsberger et al. paper.

Glycan Informed Foundational Framework for Learning Abstract Representations, based on Combinatorial Complexes and Heterogeneous GNNs

Script for quantification of glucosaminoglycans (GAGs) based on Proteome Discoverer output, with web-interface powered by Bokeh

Predicting single-cell glycosylation features from scRNA-seq