Synthetic Biology Open Language (SBOL) Version 2.0.0

Author:

Bartley Bryan1,Beal Jacob2,Clancy Kevin3,Misirli Goksel4,Roehner Nicholas5,Oberortner Ernst6,Pocock Matthew4,Bissell Michael7,Madsen Curtis4,Nguyen Tramy8,Zhang Zhen8,Gennari John H.1,Myers Chris8,Wipat Anil4,Sauro Herbert1

Affiliation:

1. 1University of Washington, Seattle, United States of America

2. 2Raytheon BBN Technologies, Cambridge, United States of America

3. 3ThermoFisher Scientific, Waltham, United States of America

4. 4Newcastle University, Newcastle, United Kingdom of Great Britain and Northern Ireland

5. 5Boston University, Boston, United States of America

6. 6DOE Joint Genome Institute, Walnut Creek, United States of America

7. 7Amyris, Inc., Emeryville, United States of America

8. 8University of Utah, Salt Lake City, United States of America

Abstract

Summary Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems would be to improve the exchange of information about designed systems between laboratories. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.0 of SBOL, introducing a standardized format for the electronic exchange of information on the structural and functional aspects of biological designs. The standard has been designed to support the explicit and unambiguous description of biological designs by means of a well defined data model. The standard also includes rules and best practices on how to use this data model and populate it with relevant design details. The publication of this specification is intended to make these capabilities more widely accessible to potential developers and users in the synthetic biology community and beyond.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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