The data generated by a glycomics or glycoproteomics experiment is often an island, disconnected from previously published datasets. This limits the impact and value of the research, particularly when the data generated has prevalent ambiguous structures or compositions.
Due to the structural certainty of our methods, the data generated by our pipeline is inherently connected to significant external glycobiology resources including databases and repositories.
There have been a flurry of recent development in glyco-informatic resources including GlyGen (started in 2017), Glyco@Expasy (2012), and Glycosmos (2020). Their resources range from providing genes and enzymes involved in producing a given glycan to hosting the metadata of a given glycomics experiment. Despite their varied affiliations and resources, the data generated by our pipeline is directly compatible with all three.
There has never been a greater time to start researching glycans and polysaccharides.