Journal article
Synthetic Biology Open Language (SBOL) Version 2.0.0
Journal of integrative bioinformatics, Vol.12(2), pp.902-991
09/04/2015
DOI: 10.2390/biecoll-jib-2015-272
PMID: 26528570
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.
Details
- Title: Subtitle
- Synthetic Biology Open Language (SBOL) Version 2.0.0
- Creators
- Bryan Bartley - University of WashingtonJacob Beal - Raytheon BBN Technol, Cambridge, MA USAKevin Clancy - ThermoFisher Sci, Waltham, MA USAGoksel Misirli - Newcastle UniversityNicholas Roehner - Boston UniversityErnst Oberortner - Joint Genome InstituteMatthew Pocock - Newcastle UniversityMichael Bissell - Amyris (United States)Curtis Madsen - Newcastle UniversityTramy Nguyen - University of UtahZhen Zhang - University of UtahJohn H. Gennari - University of WashingtonChris Myers - University of UtahAnil Wipat - Newcastle UniversityHerbert Sauro - University of Washington
- Resource Type
- Journal article
- Publication Details
- Journal of integrative bioinformatics, Vol.12(2), pp.902-991
- DOI
- 10.2390/biecoll-jib-2015-272
- PMID
- 26528570
- NLM abbreviation
- J Integr Bioinform
- ISSN
- 1613-4516
- eISSN
- 1613-4516
- Publisher
- Walter De Gruyter
- Number of pages
- 90
- Grant note
- 1356041 / Div Of Biological Infrastructure; National Science Foundation (NSF); NSF - Directorate for Biological Sciences (BIO) 1447689 / Direct For Computer & Info Scie & Enginr; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE)
- Language
- English
- Date published
- 09/04/2015
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627233802771
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