Beal, J and Cox, RS and Grünberg, R and McLaughlin, J and Nguyen, T and Bartley, B and Bissell, M and Choi, K and Clancy, K and Macklin, C and Madsen, C and Misirli, G and Oberortner, E and Pocock, M and Roehner, N and Samineni, M and Zhang, M and Zhang, Z and Zundel, Z and Gennari, J and Myers, C and Sauro, H and Wipat, A (2016) Synthetic Biology Open Language (SBOL) Version 2.1.0. Journal of integrative bioinformatics, 13 (3). 291 - ?. 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 2.1 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.

Item Type: Article
Subjects: ?? Programming Languages ??
Q Science > QA Mathematics > QA76 Computer software
?? Synthetic Biology ??
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Related URLs:
Depositing User: Symplectic
Date Deposited: 19 Jun 2017 08:31
Last Modified: 19 Jun 2017 08:31
URI: http://eprints.keele.ac.uk/id/eprint/3636

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