Literature DB >> 19342587

The automation of science.

Ross D King1, Jem Rowland, Stephen G Oliver, Michael Young, Wayne Aubrey, Emma Byrne, Maria Liakata, Magdalena Markham, Pinar Pir, Larisa N Soldatova, Andrew Sparkes, Kenneth E Whelan, Amanda Clare.   

Abstract

The basis of science is the hypothetico-deductive method and the recording of experiments in sufficient detail to enable reproducibility. We report the development of Robot Scientist "Adam," which advances the automation of both. Adam has autonomously generated functional genomics hypotheses about the yeast Saccharomyces cerevisiae and experimentally tested these hypotheses by using laboratory automation. We have confirmed Adam's conclusions through manual experiments. To describe Adam's research, we have developed an ontology and logical language. The resulting formalization involves over 10,000 different research units in a nested treelike structure, 10 levels deep, that relates the 6.6 million biomass measurements to their logical description. This formalization describes how a machine contributed to scientific knowledge.

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Year:  2009        PMID: 19342587     DOI: 10.1126/science.1165620

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  101 in total

1.  Of possible cheminformatics futures.

Authors:  Tudor I Oprea; Olivier Taboureau; Cristian G Bologa
Journal:  J Comput Aided Mol Des       Date:  2011-12-30       Impact factor: 3.686

2.  Automated refinement and inference of analytical models for metabolic networks.

Authors:  Michael D Schmidt; Ravishankar R Vallabhajosyula; Jerry W Jenkins; Jonathan E Hood; Abhishek S Soni; John P Wikswo; Hod Lipson
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

3.  Towards monitoring real-time cellular response using an integrated microfluidics-matrix assisted laser desorption ionisation/nanoelectrospray ionisation-ion mobility-mass spectrometry platform.

Authors:  J R Enders; C C Marasco; A Kole; B Nguyen; S Sevugarajan; K T Seale; J P Wikswo; J A McLean
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

4.  A proposal for augmenting biological model construction with a semi-intelligent computational modeling assistant.

Authors:  Scott Christley; Gary An
Journal:  Comput Math Organ Theory       Date:  2012-12       Impact factor: 2.023

5.  Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples.

Authors:  Ishanu Chattopadhyay; Anna Kuchina; Gürol M Süel; Hod Lipson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-22       Impact factor: 11.205

6.  Improving single molecule force spectroscopy through automated real-time data collection and quantification of experimental conditions.

Authors:  Zackary N Scholl; Piotr E Marszalek
Journal:  Ultramicroscopy       Date:  2013-08-07       Impact factor: 2.689

7.  Enhancing Friedman's "fundamental theorem of biomedical informatics".

Authors:  J Stuart Hunter
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

8.  Siri of the cell: what biology could learn from the iPhone.

Authors:  Anne-Ruxandra Carvunis; Trey Ideker
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

9.  Clarity: an open-source manager for laboratory automation.

Authors:  Nigel F Delaney; José I Rojas Echenique; Christopher J Marx
Journal:  J Lab Autom       Date:  2012-10-02

10.  Engineering challenges for instrumenting and controlling integrated organ-on-chip systems.

Authors:  John P Wikswo; Frank E Block; David E Cliffel; Cody R Goodwin; Christina C Marasco; Dmitry A Markov; David L McLean; John A McLean; Jennifer R McKenzie; Ronald S Reiserer; Philip C Samson; David K Schaffer; Kevin T Seale; Stacy D Sherrod
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

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