Synthetic Biology Open Language (SBOL) Version 2.0.0

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...

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Main Authors: Bartley Bryan, Beal Jacob, Clancy Kevin, Misirli Goksel, Roehner Nicholas, Oberortner Ernst, Pocock Matthew, Bissell Michael, Madsen Curtis, Nguyen Tramy, Zhang Zhen, Gennari John H., Myers Chris, Wipat Anil, Sauro Herbert
Format: Article
Language:English
Published: De Gruyter 2015-06-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2015-272
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author Bartley Bryan
Beal Jacob
Clancy Kevin
Misirli Goksel
Roehner Nicholas
Oberortner Ernst
Pocock Matthew
Bissell Michael
Madsen Curtis
Nguyen Tramy
Zhang Zhen
Gennari John H.
Myers Chris
Wipat Anil
Sauro Herbert
author_facet Bartley Bryan
Beal Jacob
Clancy Kevin
Misirli Goksel
Roehner Nicholas
Oberortner Ernst
Pocock Matthew
Bissell Michael
Madsen Curtis
Nguyen Tramy
Zhang Zhen
Gennari John H.
Myers Chris
Wipat Anil
Sauro Herbert
author_sort Bartley Bryan
collection DOAJ
description 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.
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spelling doaj.art-dd31aec2c9ee4fc08ab9946ad18c80b02022-12-21T22:38:59ZengDe GruyterJournal of Integrative Bioinformatics1613-45162015-06-0112290299110.1515/jib-2015-272jib-2015-272Synthetic Biology Open Language (SBOL) Version 2.0.0Bartley Bryan0Beal Jacob1Clancy Kevin2Misirli Goksel3Roehner Nicholas4Oberortner Ernst5Pocock Matthew6Bissell Michael7Madsen Curtis8Nguyen Tramy9Zhang Zhen10Gennari John H.11Myers Chris12Wipat Anil13Sauro Herbert14University of Washington, Seattle, United States of AmericaRaytheon BBN Technologies, Cambridge, United States of AmericaThermoFisher Scientific, Waltham, United States of AmericaNewcastle University, Newcastle, United Kingdom of Great Britain and Northern IrelandBoston University, Boston, United States of AmericaDOE Joint Genome Institute, Walnut Creek, United States of AmericaNewcastle University, Newcastle, United Kingdom of Great Britain and Northern IrelandAmyris, Inc., Emeryville, United States of AmericaNewcastle University, Newcastle, United Kingdom of Great Britain and Northern IrelandUniversity of Utah, Salt Lake City, United States of AmericaUniversity of Utah, Salt Lake City, United States of AmericaUniversity of Washington, Seattle, United States of AmericaUniversity of Utah, Salt Lake City, United States of AmericaNewcastle University, Newcastle, United Kingdom of Great Britain and Northern IrelandUniversity of Washington, Seattle, United States of AmericaSynthetic 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.https://doi.org/10.1515/jib-2015-272
spellingShingle Bartley Bryan
Beal Jacob
Clancy Kevin
Misirli Goksel
Roehner Nicholas
Oberortner Ernst
Pocock Matthew
Bissell Michael
Madsen Curtis
Nguyen Tramy
Zhang Zhen
Gennari John H.
Myers Chris
Wipat Anil
Sauro Herbert
Synthetic Biology Open Language (SBOL) Version 2.0.0
Journal of Integrative Bioinformatics
title Synthetic Biology Open Language (SBOL) Version 2.0.0
title_full Synthetic Biology Open Language (SBOL) Version 2.0.0
title_fullStr Synthetic Biology Open Language (SBOL) Version 2.0.0
title_full_unstemmed Synthetic Biology Open Language (SBOL) Version 2.0.0
title_short Synthetic Biology Open Language (SBOL) Version 2.0.0
title_sort synthetic biology open language sbol version 2 0 0
url https://doi.org/10.1515/jib-2015-272
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