Identification and linking of data related to AOPWiki (an OpenRiskNet case study)

Webinar (organized by OpenRiskNet)
26 Mar 2019

Activity details

Tuesday, 26 March 2019, 17:00 CET

Presenters: Marvin Martens and Egon Willighagen (Department of Bioinformatics, Maastricht University, The Netherlands), Thomas Exner (Edelweiss Connect GmbH, Switzerland)

This webinar will provide an introduction to the OpenRiskNet project and its case studies that are used to test and evaluate methods, workflows, and solutions for the predictive toxicology and risk assessment community. 

One of these case studies is AOPLink, managed by Maastricht University, which aims for the validation and linking of existing knowledge to support Adverse Outcome Pathways (AOPs). The case study involves the establishment of links between AOPs and experimental data, chemical databases, and the molecular pathway database WikiPathways. In order to do that, a FAIR version of AOP-Wiki (the main AOP resource) and WikiPathways are to be created, and by utilizing RDF, they will be implemented in workflows. These workflows can be used, for example, to look up data for an AOP to support the biological plausibility, find AOPs related to experimental results, or identify the molecular pathways underlying the AOPs.

Registration: https://register.gotowebinar.com/register/2246679785025520141

Organisations involved

Edelweiss Connect GmbH (EwC)
Universiteit Maastricht (UM)

Resources & Training materials

Webinar recording
Identification and linking of data related to AOPWiki
Marvin Martens and Egon Willighagen (Department of Bioinformatics, Maastricht University, The Netherlands), Thomas Exner (Edelweiss Connect GmbH, Switzerland)
27 Mar 2019

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: EwC, UM
Webinar recording
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

Links and additional materials

Documents: