Details

Autor(en) / Beteiligte

• Galdzicki, Michal
• Clancy, Kevin P
• Oberortner, Ernst
• Pocock, Matthew
• Quinn, Jacqueline Y
• Rodriguez, Cesar A
• Roehner, Nicholas
• Wilson, Mandy L
• Adam, Laura
• Anderson, J Christopher
• Bartley, Bryan A
• Beal, Jacob
• Chandran, Deepak
• Chen, Joanna
• Densmore, Douglas
• Endy, Drew
• Grünberg, Raik
• Hallinan, Jennifer
• Hillson, Nathan J
• Johnson, Jeffrey D
• Kuchinsky, Allan
• Lux, Matthew
• Misirli, Goksel
• Peccoud, Jean
• Plahar, Hector A
• Sirin, Evren
• Stan, Guy-Bart
• Villalobos, Alan
• Wipat, Anil
• Gennari, John H
• Myers, Chris J
• Sauro, Herbert M

Titel

The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology

Ist Teil von

• Nature biotechnology, 2014-06, Vol.32 (6), p.545-550

Ort / Verlag

New York: Nature Publishing Group US

Erscheinungsjahr

2014

Quelle

MEDLINE

Beschreibungen/Notizen

• The synthetic biology research community describes a standard language for exchanging designs of biological 'parts'. 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.