- Role of R. Hoehndorf
- PI
- Start
- 2018
- End
- 2020
- Grant ID
- URF/1/3454-01-01
- Funder
- KAUST CRG
- Total amount
- 399,986
- Amount to BORG
- 113,250
- Currency
- USD
Connections
funder schema:funder
Referenced by
funded by borg:fundedBy
acknowledges borg:acknowledges
- Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies
- Ontology-based prediction of cancer driver genes
- Combining lexical and context features for automatic ontology extension
- DDIEM: drug database for inborn errors of metabolism
- DeepGOPlus: improved protein function prediction from sequence
- Phenotype-driven discovery of digenic variants in personal genome sequences
- Formal axioms in biomedical ontologies improve analysis and interpretation of associated data
- Ontology based mining of pathogen--disease associations from literature
- PathoPhenoDB: linking human pathogens to their disease phenotypes in support of infectious disease research
- Ontology based text mining of gene-phenotype associations: application to candidate gene prediction
- Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings
Open in the interactive graph →
JSON-LD (this resource)
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"borg-id": "https://borg.kaust.edu.sa/kg/",
"owl": "http://www.w3.org/2002/07/owl#"
},
"@id": "https://leechuck.de/kg-browser/id/grant/crg-bio2vec",
"@type": "borg:Grant",
"owl:sameAs": {
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},
"schema:name": "Bio2Vec: Smart analytics infrastructure for the life sciences",
"schema:funder": {
"@type": "schema:Organization",
"schema:name": "KAUST Competitive Research Grant",
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"borg:funderShort": "KAUST CRG",
"borg:roleOfRH": "PI",
"borg:startYear": 2018,
"borg:endYear": 2020,
"borg:amountCurrency": "USD",
"borg:amountTotal": 399986,
"borg:amountToBORG": 113250,
"borg:grantID": "URF/1/3454-01-01",
"borg:internalProjectID": "3454",
"borg:grantIDSources": [
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],
"schema:additionalType": "https://schema.org/MonetaryGrant",
"prov:wasDerivedFrom": [
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}
Machine-readable copy: data.jsonld. Full dataset: kg.jsonld.