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The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.
Yamada, Issaku; Campbell, Matthew P; Edwards, Nathan; Castro, Leyla Jael; Lisacek, Frederique; Mariethoz, Julien; Ono, Tamiko; Ranzinger, Rene; Shinmachi, Daisuke; Aoki-Kinoshita, Kiyoko F.
Afiliação
  • Yamada I; Research Department, The Noguchi Institute, 1-9-7 Kaga, Itabashi, Tokyo 173-0003, Japan.
  • Campbell MP; Institute for Glycomics, Griffith University at Gold Coast, Southport, QLD 4215, Australia.
  • Edwards N; Department of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20007, USA.
  • Castro LJ; ZB MED Information Centre for Life Sciences, Gleueler Str. 60, 50931 Cologne, Germany.
  • Lisacek F; Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Computer Science Department, University of Geneva, route de Drize 7, CH - 1227 Geneva Switzerland, and also Section of Biology, University of Geneva, Geneva, Switzerland.
  • Mariethoz J; Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, 7 Route de Drize, 1227 Geneva, Switzerland.
  • Ono T; Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan.
  • Ranzinger R; Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, Georgia 30602, USA.
  • Shinmachi D; R&D Department, SparqLite LLC., 1615-22 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan.
  • Aoki-Kinoshita KF; Glycan & Life Science Integration Center (GaLSIC), Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan.
Glycobiology ; 31(7): 741-750, 2021 08 07.
Article em En | MEDLINE | ID: mdl-33677548
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).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Glicoproteínas Idioma: En Revista: Glycobiology Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Glicoproteínas Idioma: En Revista: Glycobiology Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão