Genesis-DB: a database for autonomous laboratory systems.

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Gower, Alexander H 
Kronström, Filip 
Halle, Rushikesh 
Mahamuni, Vinay 

SUMMARY: Artificial intelligence (AI)-driven laboratory automation-combining robotic labware and autonomous software agents-is a powerful trend in modern biology. We developed Genesis-DB, a database system designed to support AI-driven autonomous laboratories by providing software agents access to large quantities of structured domain information. In addition, we present a new ontology for modeling data and metadata from autonomously performed yeast microchemostat cultivations in the framework of the Genesis robot scientist system. We show an example of how Genesis-DB enables the research life cycle by modeling yeast gene regulation, guiding future hypotheses generation and design of experiments. Genesis-DB supports AI-driven discovery through automated reasoning and its design is portable, generic, and easily extensible to other AI-driven molecular biology laboratory data and beyond. AVAILABILITY AND IMPLEMENTATION: Genesis-DB code and installation instructions are available at the GitHub repository The database use case demo code and data are also available through GitHub ( The ontology can be downloaded here: The ontology term descriptions (including mappings to existing ontologies) and maintenance standard operating procedures can be found at:

46 Information and Computing Sciences, 4602 Artificial Intelligence, Networking and Information Technology R&D (NITRD)
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Bioinform Adv
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Oxford University Press (OUP)