| Literature DB >> 33677548 |
Issaku Yamada1, Matthew P Campbell2, Nathan Edwards3, Leyla Jael Castro4, Frederique Lisacek5, Julien Mariethoz6, Tamiko Ono7, Rene Ranzinger8, Daisuke Shinmachi9, Kiyoko F Aoki-Kinoshita10.
Abstract
Recent years have seen great advances in the development of glycoproteomics protocols and methods resulting in a sustainable increase in the reporting proteins, their attached glycans and glycosylation sites. However, only very few of these reports find their way into databases or data repositories. One of the major reasons is the absence of digital standard to represent glycoproteins and the challenging annotations with glycans. Depending on the experimental method, such a standard must be able to represent glycans as complete structures or as compositions, store not just single glycans but also represent glycoforms on a specific glycosylation side, deal with partially missing site information if no site mapping was performed, and store abundances or ratios of glycans within a glycoform of a specific site. To support the above, we have developed the GlycoConjugate Ontology (GlycoCoO) as a standard semantic framework to describe and represent glycoproteomics data. GlycoCoO can be used to represent glycoproteomics data in triplestores and can serve as a basis for data exchange formats. The ontology, database providers and supporting documentation are available online (https://github.com/glycoinfo/GlycoCoO).Entities:
Keywords: Semantic Web; glycoconjugate; glycolipid; glycoprotein; ontology
Mesh:
Substances:
Year: 2021 PMID: 33677548 PMCID: PMC8351504 DOI: 10.1093/glycob/cwab013
Source DB: PubMed Journal: Glycobiology ISSN: 0959-6658 Impact factor: 5.954