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BY-NC-ND 4.0 license Open Access Published by De Gruyter April 20, 2017

Synthetic Biology Open Language (SBOL) Version 2.1.0

  • Jacob Beal , Robert Sidney Cox , Raik Grünberg , James McLaughlin , Tramy Nguyen , Bryan Bartley , Michael Bissell , Kiri Choi , Kevin Clancy , Chris Macklin , Curtis Madsen , Goksel Misirli , Ernst Oberortner , Matthew Pocock , Nicholas Roehner , Meher Samineni , Michael Zhang , Zhen Zhang , Zach Zundel , John H. Gennari , Chris Myers , Herbert Sauro and Anil Wipat


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 2.1 of SBOL that builds upon version 2.0 published in last year’s JIB special issue. In particular, SBOL 2.1 includes improved rules for what constitutes a valid SBOL document, new role fields to simplify the expression of sequence features and how components are used in context, and new best practices descriptions to improve the exchange of basic sequence topology information and the description of genetic design provenance, as well as miscellaneous other minor improvements.

Published Online: 2017-4-20
Published in Print: 2016-9-1

© 2016 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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