Genesis-DB: a database for autonomous laboratory systems
Artikel i vetenskaplig tidskrift, 2023
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.
Författare
Gabriel Reder
Chalmers, Life sciences, Systembiologi
Alexander Gower
Chalmers, Data- och informationsteknik, Data Science och AI
Filip Kronström
Chalmers, Data- och informationsteknik, Data Science och AI
Rushikesh Halle
Thoughtworks
Vinay Mahamuni
Thoughtworks
Amit Patel
Thoughtworks
Harshal Hayatnagarkar
Thoughtworks
Larisa N. Soldatova
Goldsmiths, University of London
Ross King
Chalmers, Data- och informationsteknik, Data Science och AI
University of Cambridge
Alan Turing Institute
Bioinformatics Advances
26350041 (eISSN)
Vol. 3 1 vbad102Ämneskategorier
Signalbehandling
Datavetenskap (datalogi)
DOI
10.1093/bioadv/vbad102