This is GlycoQL
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 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 SARS-CoV-2 spike protein glycosylation. We show how to enhance site annotation with federated queries involving UniProt and GlyConnect, our glycoprotein database.
Availability
currently only available for reviewers at:<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://beta.glyconnect.expasy.org/glycoql/">https://beta.glyconnect.expasy.org/glycoql/</ext-link>
Contact
<email>catherine.hayes@unige.ch</email>;<email>frederique.lisacek@sib.swiss</email>
Supplementary information
Supplementary data are available at<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://glyconnect.expasy.org/glystreem/wiki">https://glyconnect.expasy.org/glystreem/wiki</ext-link>.
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