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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

Synthetic Biology Open Language (SBOL) Version 2.0.0

  • Bryan Bartley , Jacob Beal , Kevin Clancy , Goksel Misirli , Nicholas Roehner EMAIL logo , Ernst Oberortner , Matthew Pocock , Michael Bissell , Curtis Madsen , Tramy Nguyen , Zhen Zhang , John H. Gennari , Chris Myers , Anil Wipat and Herbert Sauro


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.

Published Online: 2016-10-18
Published in Print: 2015-6-1

© 2015 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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