Bartley, B and Beal, J and Clancy, K and Misirli, G and Roehner, N and Oberortner, E and Pocock, M and Bissell, M and Madsen, C and Nguyen, T and Zhang, Z and Gennari, JH and Myers, C and Wipat, A and Sauro, H (2015) Synthetic Biology Open Language (SBOL) Version 2.0.0. Journal of integrative bioinformatics, 12 (2). 272 - ?. 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 2.0 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.

Item Type: Article
Uncontrolled Keywords: Animals, Biological Ontologies, Computer Graphics, Datasets as Topic, Documentation, Guidelines as Topic, Humans, Information Storage and Retrieval, Internationality, Models, Biological, Programming Languages, Proteome, Signal Transduction, Synthetic Biology
Subjects: ?? Animals ??
?? Biological Ontologies ??
?? Computer Graphics ??
?? Datasets as Topic ??
?? Documentation ??
?? Guidelines as Topic ??
?? Humans ??
?? Information Storage and Retrieval ??
?? Internationality ??
?? Models, Biological ??
?? Programming Languages ??
?? Proteome ??
Q Science > QA Mathematics > QA76 Computer software
?? Signal Transduction ??
?? Synthetic Biology ??
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Related URLs:
Depositing User: Symplectic
Date Deposited: 16 Jun 2017 15:00
Last Modified: 16 Jun 2017 15:00
URI: http://eprints.keele.ac.uk/id/eprint/3639

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