AOP-DB SPARQL Endpoint

This service is a Virtuoso SPARQL endpoint that is loaded with RDF of the Adverse Outcome Pathway Database (AOP-DB) from the US EPA, who won the implementation challenge.

For end-users
For developers
Type:
Database / data source
API Type:
SPARQL
Categories:
Toxicology, chemical properties and bioassay databases, Knowledge bases
Applicability domain:
Toxicology, Bioinformatics
Topic:
Risk assessment, Information extraction
Targeted industry:
Other consumer products, Food, Cosmetics, Drugs, Nanotechnology, Chemicals
Targeted users:
Regulators, Data managers, Software Developers, Researchers, Risk assessors
Relevant OpenRiskNet case study:
AOPLink - Identification and Linking of Data related to AOPWiki

Provided by:
Maastricht University
Login required:
No
Integration status:
Integration in progress

Resources & Training

Webinar recording
AOP-DB: The Adverse Outcome Pathway Database
Holly Mortensen, Ph.D. (US EPA), Phillip Langley (ORAU-SSC) and Trevor Levey (ORAU-SSC)
16 Apr 2019
Related services:
AOP-DB SPARQL Endpoint

Target audience: Risk assessors, Researchers, Students, Developers, OpenRiskNet stakeholders, Bioinformaticians
Open access: yes
Licence: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Organisations involved: EwC, UM
Webinar recording
Presentation
AOP-DB: The Adverse Outcome Pathway Database
Holly Mortensen, Ph.D. (US EPA), Phillip Langley (ORAU-SSC) and Trevor Levey (ORAU-SSC)
8 Apr 2019
Additional materials:
Slides
Related services:
AOP-DB SPARQL Endpoint

Target audience: Risk assessors, Researchers, Students, OpenRiskNet stakeholders, Regulators, Data modellers
Open access: yes
Licence: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Organisations involved: UM
Presentation
Presentation
AOPLink - Linking experimental data to Adverse Outcome Pathways
Marvin Martens, Egon Willighagen, Chris Evelo (Department of Bioinformatics, Maastricht University, The Netherlands)
27 Mar 2019
Additional materials:
Slides

Publisher: OpenRiskNet
Target audience: Risk assessors, Researchers, Students, Data modellers, Bioinformaticians
Open access: yes
Licence: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Organisations involved: UM
Presentation