GlycoRDF: an ontology to standardize glycomics data in RDF

Bioinformatics. 2015 Mar 15;31(6):919-25. doi: 10.1093/bioinformatics/btu732. Epub 2014 Nov 11.


Motivation: Over the last decades several glycomics-based bioinformatics resources and databases have been created and released to the public. Unfortunately, there is no common standard in the representation of the stored information or a common machine-readable interface allowing bioinformatics groups to easily extract and cross-reference the stored information.

Results: An international group of bioinformatics experts in the field of glycomics have worked together to create a standard Resource Description Framework (RDF) representation for glycomics data, focused on glycan sequences and related biological source, publications and experimental data. This RDF standard is defined by the GlycoRDF ontology and will be used by database providers to generate common machine-readable exports of the data stored in their databases.

Availability and implementation: The ontology, supporting documentation and source code used by database providers to generate standardized RDF are available online (

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Database Management Systems / standards*
  • Databases, Factual / standards*
  • Documentation
  • Gene Ontology
  • Glycomics / methods*
  • Humans
  • Information Storage and Retrieval / methods*
  • Polysaccharides / chemistry*
  • Software*


  • Polysaccharides