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Volume 15, Issue 1, Pages 33-40 (February 2010)


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An Integrated Laboratory Robotic System for Autonomous Discovery of Gene Function

Andrew Sparkes1Corresponding Author Informationemail address, Ross D. King1, Wayne Aubrey1, Michael Benway3, Emma Byrne4, Amanda Clare1, Maria Liakata1, Magdalena Markham2, Kenneth E. Whelan1, Michael Young2, Jem Rowland1

Progress in laboratory automation depends not only on automating the physical aspects of scientific experimentation, but also on the intellectual aspects. We present the conceptual design, implementation, and our user-experience of “Adam,” which uses machine intelligence to autonomously investigate the function of genes in the yeast Saccharomyces cerevisiae. These investigations involve cycles of hypothesis formation, design of experiments to test these hypotheses, physical execution of the experiments using laboratory automation, and the analysis of the results. The physical execution of the experiments involves growing specific yeast strains in specific media and measuring growth curves. Hundreds of such experiments can be executed daily without human intervention. We believe Adam to be the first machine to have autonomously discovered novel scientific knowledge.

1 Department of Computer Science, Aberystwyth University

2 Institute of Biological, Environmental and Rural Sciences, Aberystwyth University

3 Automated Systems, Caliper Life Sciences, Hopkinton

4 School of Engineering and Information, Middlesex University

Corresponding Author InformationCorrespondence: Andrew Sparkes, Ph.D., Department of Computer Science, Aberystwyth University, SY23 3DB, UK; Phone: +44.1970.6628404; Fax: +44.1970.628536

PII: S1535-5535(09)00216-0

doi:10.1016/j.jala.2009.10.001


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