COVTriage
COVTriage integrates a COVID-19 application ontology with literature annotation to triage and link biomedical literature and core databases for interoperable COVID-19 data integration and retrieval.
Key Features:
- Application Ontology (COVoc): COVoc is a COVID-19 application ontology that enables navigation between biomedical literature and core databases and supports interoperability across ELIXIR resources.
- Data Integration: Integrates COVID-19 data into SIB Literature services and supports connections to other COVID-19 ontologies such as the Coronavirus Infectious Disease Ontology.
- Triage Service: Implements annotation processing to systematically search and annotate literature for predefined COVID-related aspects and provides daily updates.
Scientific Applications:
- Biomedical Literature Navigation: Links publications to databases to locate studies and datasets relevant to COVID-19 research.
- Interoperability Across Resources: Harmonizes ontology-based terms to enable integration of diverse data sources across ELIXIR and related resources.
- Research Support: Supports analyses of disease mechanisms, treatment evaluation, and vaccine development for COVID-19.
Methodology:
COVTriage employs annotation processing to search and extract information from biomedical literature and organizes results using the ontology-based COVoc framework to enable interoperability and database linking.
Topics
Collections
Details
- License:
- Not licensed
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Scala, Shell, Ruby
- Added:
- 2/14/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Data retrieval
Inputs
Publications
Caucheteur D, May Pendlington Z, Roncaglia P, Gobeill J, Mottin L, Matentzoglu N, Agosti D, Osumi-Sutherland D, Parkinson H, Ruch P. COVoc and COVTriage: novel resources to support literature triage. Bioinformatics. 2022;39(1). doi:10.1093/bioinformatics/btac800. PMID:36511598. PMCID:PMC9825781.