Title |
The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology
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Published in |
Nature Biotechnology, June 2014
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DOI | 10.1038/nbt.2891 |
Pubmed ID | |
Authors |
Michal Galdzicki, Kevin P Clancy, Ernst Oberortner, Matthew Pocock, Jacqueline Y Quinn, Cesar A Rodriguez, Nicholas Roehner, Mandy L Wilson, Laura Adam, J Christopher Anderson, Bryan A Bartley, Jacob Beal, Deepak Chandran, Joanna Chen, Douglas Densmore, Drew Endy, Raik Grünberg, Jennifer Hallinan, Nathan J Hillson, Jeffrey D Johnson, Allan Kuchinsky, Matthew Lux, Goksel Misirli, Jean Peccoud, Hector A Plahar, Evren Sirin, Guy-Bart Stan, Alan Villalobos, Anil Wipat, John H Gennari, Chris J Myers, Herbert M Sauro |
Abstract |
The re-use of previously validated designs is critical to the evolution of synthetic biology from a research discipline to an engineering practice. Here we describe the Synthetic Biology Open Language (SBOL), a proposed data standard for exchanging designs within the synthetic biology community. SBOL represents synthetic biology designs in a community-driven, formalized format for exchange between software tools, research groups and commercial service providers. The SBOL Developers Group has implemented SBOL as an XML/RDF serialization and provides software libraries and specification documentation to help developers implement SBOL in their own software. We describe early successes, including a demonstration of the utility of SBOL for information exchange between several different software tools and repositories from both academic and industrial partners. As a community-driven standard, SBOL will be updated as synthetic biology evolves to provide specific capabilities for different aspects of the synthetic biology workflow. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 26% |
United Kingdom | 11 | 17% |
Spain | 4 | 6% |
France | 2 | 3% |
Australia | 2 | 3% |
India | 2 | 3% |
Chile | 1 | 2% |
Canada | 1 | 2% |
Colombia | 1 | 2% |
Other | 3 | 5% |
Unknown | 22 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 45 | 68% |
Scientists | 20 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 2% |
United Kingdom | 6 | 1% |
Belgium | 2 | <1% |
Russia | 2 | <1% |
Spain | 2 | <1% |
Australia | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
New Zealand | 1 | <1% |
Other | 5 | 1% |
Unknown | 377 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 109 | 27% |
Researcher | 76 | 19% |
Student > Bachelor | 44 | 11% |
Student > Master | 38 | 9% |
Professor | 23 | 6% |
Other | 59 | 14% |
Unknown | 58 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 135 | 33% |
Biochemistry, Genetics and Molecular Biology | 103 | 25% |
Engineering | 33 | 8% |
Computer Science | 24 | 6% |
Chemical Engineering | 7 | 2% |
Other | 37 | 9% |
Unknown | 68 | 17% |