Team:Stanford/sBOLvPage
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| A restriction endonuclease site that binds at one location on the DNA strand, but cuts at a location downstream from this initial site. It results in an overhang. | | A restriction endonuclease site that binds at one location on the DNA strand, but cuts at a location downstream from this initial site. It results in an overhang. | ||
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+ | == 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. | ||
+ | |||
+ | |||
+ | ==References== | ||
+ | Novere, et al. Systems Biology Graphical Notation. Nature Biotechnology 2009 vol. 27 (8) pp. 735-41 | ||
+ | |||
+ | Matsuoka, et al. Consistent design schematics for biological systems: standardization of representation in biological engineering. Journal of the Royal Society Interface. EPub June 3 2009 | ||
+ | |||
+ | Shetty, et al. Engineering BioBrick vectors from BioBrick parts. Journal of Biological Engineering. 2008; 2: 5. | ||
+ | |||
+ | Voigt. Genetic parts to program bacteria. Current Opinion in Biotechnology, 17(5):548–57, Oct 2006. | ||
+ | |||
+ | Andrianantoandro, et al. Synthetic biology: new engineering rules for an emerging discipline. Molecular Systems Biology. 2006 vol. 2 pp. 2006.0028. | ||
+ | |||
+ | Endy. Foundations for engineering biology. 2005 vol. 438 (7067) pp. 449-53. |
Revision as of 23:15, 18 October 2009
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Contents |
Background to SBOL-V
Synthetic Biology Open Language Visual (SBOLv) is a graphical notation for the formal specification of basic and composite parts used in the development of biological devices. It is targeted for use by biological engineers in model-driven, forward engineering projects. 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.
Central Dogma Symbols
Genetic Engineering Symbols
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.
References
Novere, et al. Systems Biology Graphical Notation. Nature Biotechnology 2009 vol. 27 (8) pp. 735-41
Matsuoka, et al. Consistent design schematics for biological systems: standardization of representation in biological engineering. Journal of the Royal Society Interface. EPub June 3 2009
Shetty, et al. Engineering BioBrick vectors from BioBrick parts. Journal of Biological Engineering. 2008; 2: 5.
Voigt. Genetic parts to program bacteria. Current Opinion in Biotechnology, 17(5):548–57, Oct 2006.
Andrianantoandro, et al. Synthetic biology: new engineering rules for an emerging discipline. Molecular Systems Biology. 2006 vol. 2 pp. 2006.0028.
Endy. Foundations for engineering biology. 2005 vol. 438 (7067) pp. 449-53.