Cox, RS and Madsen, C and McLaughlin, JA and Nguyen, T and Roehner, N and Bartley, B and Beal, J and Bissell, M and Choi, K and Clancy, K and Grünberg, R and Macklin, C and Misirli, G and Oberortner, E and Pocock, M and Samineni, M and Zhang, M and Zhang, Z and Zundel, Z and Gennari, JH and Myers, C and Sauro, H and Wipat, A (2018) Synthetic Biology Open Language (SBOL) Version 2.2.0. Journal of integrative bioinformatics, 15 (1). ISSN 1613-4516

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Abstract

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 2.2.0 of SBOL that builds upon version 2.1.0 published in last year's JIB special issue. In particular, SBOL 2.2.0 includes improved description and validation rules for genetic design provenance, an extension to support combinatorial genetic designs, a new class to add non-SBOL data as attachments, a new class for genetic design implementations, and a description of a methodology to describe the entire design-build-test-learn cycle within the SBOL data model.

Item Type: Article
Additional Information: ©2018, Robert Sidney Cox et al., published by De Gruyter, Berlin/Boston. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0
Uncontrolled Keywords: Standards, Synthetic Biology, Synthetic Biology Open Language
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Natural Sciences > School of Computing and Maths
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Depositing User: Symplectic
Date Deposited: 01 May 2018 14:59
Last Modified: 01 May 2018 14:59
URI: http://eprints.keele.ac.uk/id/eprint/4811

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