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automated recommendation tool
What is aRT?
The Automated Recommendation Tool is a tool that leverages machine learning and probabilistic modeling techniques to guide synthetic biology in a systematic fashion, without the need for a full mechanistic understanding of the biological system.
Media coverage
Machine Learning Takes on Synthetic Biology: Algorithms Can Bioengineer Cells for You (Berkeley Lab News, phys.org, LBL BioSciences, TecTales, Newswise, MirageNews, Eurekalert, Scienmag, Bioengineer.org, Sciencesprings, Scienceblog)
Machine Learning Takes On Synthetic Biology: Revolutionary Algorithms Can Rapidly Bioengineer Cells for You (SciTechDaily, FocusTechnica)
Speeding Up the Ability to Design New Biological Systems (Lab Manager)
New algorithm to improve the efficiency of synthetic biology experiments (Innovation News Network)
Algorithm suggests optimal designs for new biological systems (The E&T)
Algorithms can engineer cells for you (DTU Biosustain News)
A revolution in bioengineering (Science Node)
How Machine Learning Made Hops-Free Hoppy Beer (and Other SynBio Wonders) Possible (Singularity Hub)
New AI Speeds Discovery in Synthetic Biology (Psychology Today)
Berkeley Lab scientists design automated synthetic biology tool (The Daily Californian)
publications
TEAM
Tijana Radivojevic
Hector Garcia Martin
Zak Costello
Mark Forrer
Kenneth Workman
Bret Peterson
Nathan Hillson
Robin Johnston
Aparajitha Srinivasan