GlyGen: Computational and informatics resources for Glycoscience
Year: 2025
Type: other
Abstract: Advancing our understanding of the roles that glycosylation plays in development and disease is often hindered by the diversity of data required to gain insight into these complex phenomena. GlyGen is an initiative aimed at democratizing glycosciences research by creating a comprehensive knowledgebase that integrates various types of data, including glycan structures, glycan biosynthesis enzymes, glycoproteins, genomic, proteomic and biomarker knowledge. To achieve this integration, GlyGen has established international collaborations with database providers from different domains (including EBI, NCBI, PDB, and GlyCosmos) and glycosciences data producers. Information from these resources is harmonized, standardized and cross-linked to enable queries across multiple domains. Rigorous data quality control pipelines ensure the consistency and quality of the generate knowledgebase. To facilitate easy access to this information, an intuitive, web-based interface (https://glygen.org) has been developed to visually represent the information in the knowledgebase. In addition to the browser-based interface, GlyGen has developed RESTful web service-based APIs, a file-based data portal and a SPARQL endpoint, allowing programmatic access to integrated datasets. In the web-based portal for each glycan, protein, site, and biomarkers in the integrated knowledgebase, GlyGen provides a detailed page that displays information from the integrated resources in a concise manner. Individual detail pages are interlinked, allowing easy data exploration across multiple domains. All information accessed through GlyGen is linked back to original sources, allowing users to browse through these resources easily. The GlyGen portal offers multiple search interfaces for users to find glycans and proteins based on their properties or annotations. The most advanced version is the GlyGen Super Search, which visualizes the entire data model in one graph and enables users to find glycans and proteins by adding constraints to this graph. Beyond data on glycans and proteins, GlyGen also provides tools for studying glycosylation pathways, investigating relationships between glycans based on incomplete structures, blast search or mapping different ID namespaces. Our goal is to provide scientists with an easy way to access the complex information underlying state-of-the-art knowledge that describes the biology of glycans and glycoproteins. To schedule an individual demo of GlyGen or add your data to GlyGen contact Rene Ranzinger ([email protected]).
Author: Rene Ranzinger
Institution: University of Georgia
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4416502468