Editors-in-Chief
- Dietlind Gerloff, UC Santa Cruz
- Siu-wai Leung, University of Macau
- David Robertson, University of Edinburgh
Articles
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Research
Automated Experimentation 2011, 3:3 (22 December 2011)OpenKnowledge for Peer-to-peer Experimentation in Protein Identification by MS/MS
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Commentary
Automated Experimentation 2011, 3:2 (27 June 2011)The benefits of integrated systems for managing
both samplesand experimental data: An opportunity for labs in universities and government research institutions to lead the way -
Research
Automated Experimentation 2011, 3:1 (9 May 2011)Automated experimentation in ecological networks
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Aims & scope
Automated Experimentation will cease to be published by BioMed Central as of 1st February, 2012. BioMed Central will continue to host an archive of all articles previously published in the journal and all articles published in Automated Experimentation during its time with BioMed Central will remain fully searchable via the BioMed Central website.
From the Editors
With deep theoretical roots in, massive informatics tools for, and visionary goals of scientific research, Automated Experimentation (AE) or biomedical sciences has been emerging in the latest and next generation biomedical informatics. By automating non-creative research processes, AE is generating and testing exhaustive data. By designing creative research processes, AE is hypothesizing and verifying new theories. AE does provide exciting models, cycles, workflows, platforms, and paradigms for scientific discoveries and knowledge sharing through the distributed networks of machines and people. Why do we limit ourselves in doing uninteresting research routines? Why not break new ground for AE and expand the horizons of science? Together we are making and sharing new knowledge in a new way - Automated Experimentation.
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