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AgriSchemas Progress Report

Bioinformatics Specialist
Nov. 12, 2019
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AgriSchemas Progress Report

  1. AgriSchemas and FAIR-ification of DFW Data Rothamsted Research, 11/11/2019 Marco Brandizi <marco.brandizi@rothamsted.ac.uk> Find these slides on SlideShare
  2. Linked Data APIs APIs + standards Guidelines Tabular formats Vocabularies ’n onto services Specific formats What do we have in Agrifood?
  3. The DFW Needs
  4. The Knetminer Needs • Green: Ondex plug-ins • rdf2neo is a generic, non Ondex-specific rdf->Neo4j conversion tool • Brandizi et al, IB-2018 (https://dx.doi.org/10.1515%2Fjib-2018-0023) • Brandizi et al, SWAT4LS-2018 (https://doi.org/10.6084/m9.figshare.7314323.v1)
  5. Towards interoperability: AgriSchemas
  6. Towards interoperability: AgriSchemas
  7. Towards interoperability: AgriSchemas Experimental data (EBI GXA) Molecular biology (Knetminer) Host-pathogen interaction (PHI- Base)
  8. Towards interoperability: AgriSchemas Molecular biology (Knetminer)
  9. Towards interoperability: AgriSchemas Experimental data (EBI GXA)
  10. Towards interoperability: AgriSchemas Host-pathogen interaction (PHI- Base)
  11. The Knetminer SPARQL endpoint A first prototype of Knetminer data + EBI’s GXA data, modelled after AgriSchemas Try it live: http://knetminer-data.cyverseuk.org/lodestar/sparql More examples: https://bit.ly/2X34rgF
  12. Integration and Interoperability Knetminer Info GXA Info
  13. What’s next? • This hackathon: • Review what’s done so fare with AgriSchemas • Possibly think of new use cases • eg, CerealsDB, AHDB, T3, GG3, DFW vocabularies, DFW datasets being published • eg, weather data (in particular, those linked to trials via MIAPPE) • Start defining the AgriSchemas schema/ontology • Possibly now or surely later: • Convert real data sets • Finalise the endpoint and convert to Neo4j • Develop sample applications (eg, Python analyses, Jupyter analyses) • Submit to some journal…

Editor's Notes

  1. Details for the downloader, or the second part
  2. Details for the downloader, or the second part
  3. Details for the downloader, or the second part
  4. Details for the downloader, or the second part
  5. Data from different sources are merged together in the RDF coming from URI resolution The LODEStar browser can show that, but also resolve the URI (via content negotiation)
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