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 Technologies India
Vinay Mahamuni
ThoughtWorks Technologies India
Amit Patel
ThoughtWorks Technologies India
Harshal Hayatnagarkar
ThoughtWorks Technologies India
Larisa N. Soldatova
Goldsmiths, University of London
Ross King
Alan Turing Institute
University of Cambridge
Chalmers, Data- och informationsteknik, Data Science och AI
Bioinformatics Advances
26350041 (eISSN)
Vol. 3 1 vbad102Ämneskategorier (SSIF 2011)
Signalbehandling
Datavetenskap (datalogi)
DOI
10.1093/bioadv/vbad102