Team:Stanford/sBOLvPage

Synthetic Biology Open language Visual: SBOL-V
Synthetic Biology Open Language Visual (SBOLv) is a graphical notation that supports biological device development. It provides a formal notation for describing the physical composition of basic parts into composite parts during the development of biological devices. It is targeted for use by biological engineers in forward engineering projects. It encourages and supports model-driven engineering.

SBOLv is an open standard that balances the benefits of top-down control with the bottom-up needs to communicate. The notation is flourishing in an environment of open communication while rigorously defining symbols, syntax, and grammar. SBOLv is an abstract tool for solving concrete problems. It has a rigorous and consistent structure and is being used in concrete software tools while working on concrete Synthetic Biology projects.

SBOLv is a component of the Synthetic Biology Open Language (SBOL), an emerging open standard for structuring and exchanging information between members of the Synthetic Biology Community. SBOL has four components; a relational model (Core Data Model), a semantic model (SBOL Semantic), a scripting language (SBOL Script), and a graphical notation (SBOL Visual). SBOL promises to offer biological engineers with a comprehensive set of standards and tools in support of data exchange and communication.

To view additional symbols at the Endy Lab notebook: http://openwetware.org/wiki/Endy:Notebook/Synthetic_Biology_Open_Language

Documents
The formal RFC Document is entitled ''BBF RFC. 16: Synthetic Biology Open Language Visual (SBOLv) Specification.''

Acknowledgements
It takes many individuals to nurture the birth of a new language. We are indebted to our colleagues; Drew Endy, Cesar Rodriguez, Jerome Bonnet, Barry Canton, Deepak Chandran, Douglas Densmore, Lesia Bilitchenko, Joanna Chen, Tim Ham, Raik Gruenberg, Jason Kelly, Adam Liu, Richard Mar, Lance Martin, Alec Nielsen, Robert Ovadia, Randy Rettberg, Herbert Sauro, Reshma Shetty, Francois St-Pierre, Emma Weeding, and Ming Yan. Thank you for your support and advice.

We would also like to extend our thanks to the Berkeley Software iGEM team for 2009, whom we collaborated with in our designs and who will be using parts of the language in their software tools, available through their wiki, which facilitate in the design of biological parts.