Journal article
Synthetic Biology Open Language (SBOL) Version 2.1.0
Journal of integrative bioinformatics, Vol.13(3), pp.30-132
12/18/2016
DOI: 10.2390/biecoll-jib-2016-291
PMID: 28187407
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.
Details
- Title: Subtitle
- Synthetic Biology Open Language (SBOL) Version 2.1.0
- Creators
- Jacob Beal - RaytheonRobert Sidney Cox - Kobe UniversityRaik Grunberg - King Abdullah Univ Sci & Technol, Thuwal, Saudi ArabiaJames McLaughlin - Newcastle UniversityTramy Nguyen - University of UtahBryan Bartley - University of WashingtonMichael Bissell - AmyrisKiri Choi - University of WashingtonKevin Clancy - ThermoFisher Sci, Waltham, MA USAChris Macklin - AmyrisCurtis Madsen - Boston UniversityGoksel Misirli - Newcastle UniversityErnst Oberortner - Joint Genome InstituteMatthew Pocock - ATENicholas Roehner - Boston UniversityMeher Samineni - University of UtahMichael Zhang - University of UtahZhen Zhang - Univ S Florida, Tampa, FL USAZach Zundel - University of UtahJohn H. Gennari - University of WashingtonChris Myers - University of UtahHerbert Sauro - University of WashingtonAnil Wipat - Newcastle University
- Resource Type
- Journal article
- Publication Details
- Journal of integrative bioinformatics, Vol.13(3), pp.30-132
- Publisher
- IMBIO E V
- DOI
- 10.2390/biecoll-jib-2016-291
- PMID
- 28187407
- ISSN
- 1613-4516
- eISSN
- 1613-4516
- Number of pages
- 103
- Language
- English
- Date published
- 12/18/2016
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627192702771
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