An Integrated Laboratory Robotic System for Autonomous Discovery of Gene Function

Author:

Sparkes Andrew1,King Ross D.1,Aubrey Wayne1,Benway Michael2,Byrne Emma3,Clare Amanda1,Liakata Maria1,Markham Magdalena4,Whelan Kenneth E.1,Young Michael4,Rowland Jem1

Affiliation:

1. Department of Computer Science, Aberystwyth University

2. Automated Systems, Caliper Life Sciences, Hopkinton

3. School of Engineering and Information, Middlesex University

4. Institute of Biological, Environmental and Rural Sciences, Aberystwyth University

Abstract

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.

Publisher

SAGE Publications

Subject

Medical Laboratory Technology,Computer Science Applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Large-scale automated investigation of free-falling paper shapes via iterative physical experimentation;Nature Machine Intelligence;2020-01

2. Clinical Bioinformatics for Biomarker Discovery in Targeted Metabolomics;Translational Bioinformatics;2016

3. An investigation into eukaryotic pseudouridine synthases;Journal of Bioinformatics and Computational Biology;2014-08

4. Batch Transfer of Zebrafish Embryos Into Multiwell Plates;IEEE Transactions on Automation Science and Engineering;2011-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3