This is GlycoQL.
Bioinformatics
; 38(Supplement_2): ii162-ii167, 2022 Sep 16.
Article
in English
| MEDLINE | ID: covidwho-20236649
ABSTRACT
MOTIVATION We have previously designed and implemented a tree-based ontology to represent glycan structures with the aim of searching these structures with a glyco-driven syntax. This resulted in creating the GlySTreeM knowledge-base as a linchpin of the structural matching procedure and we now introduce a query language, called GlycoQL, for the actual implementation of a glycan structure search. RESULTS:
The methodology is described and illustrated with a use-case focused on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike protein glycosylation. We show how to enhance site annotation with federated queries involving UniProt and GlyConnect, our glycoprotein database. AVAILABILITY AND IMPLEMENTATION https//glyconnect.expasy.org/glycoql/.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
SARS-CoV-2
/
COVID-19
Limits:
Humans
Language:
English
Journal:
Bioinformatics
Journal subject:
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
Bioinformatics
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