The background of developing Open Standards, Open Specifications and related Open Source Components with OpenTox provides a valuable foundation on which we are developing ToxBank as a reference extensible architecture for predictive toxicology.
I suggested OpenTox is developing itself as an Open Knowledge Community supporting accelerating innovation through knowledge sharing, application development, semantic interoperability and ontology for combining data and models, and learning from the application of developed tools to problem solving.
We are interacting with many partners on the SEURAT-1 program providing a rich context for requirements gathering, design and implementation, working closely with the evolving needs and development goals of the program.
We have been working on putting in place best practices on the description of data, and importantly the protocols used to generate and process that data.
I suggested it is also a priority that this practice includes the contributions of computational science and integrated analysis, and I encouraged both the OpenTox community and the ToxBank development to progress this important goal.
The above approaches provide a foundation on which we can integrate many advances in integrated analysis, systems biology, in vitro assay development, omics, and bioengineeering to support an event driven Weight of Evidence approach and semantic reasoning across ontology-linked heterogenous evidence.
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