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Synthetic Biology Open Language (SBOL) Version 2.3

Authors :
Madsen Curtis
Goñi Moreno Angel
P Umesh
Palchick Zachary
Roehner Nicholas
Atallah Christian
Bartley Bryan
Choi Kiri
Cox Robert Sidney
Gorochowski Thomas
Grünberg Raik
Macklin Chris
McLaughlin James
Meng Xianwei
Nguyen Tramy
Pocock Matthew
Samineni Meher
Scott-Brown James
Tarter Ysis
Zhang Michael
Zhang Zhen
Zundel Zach
Beal Jacob
Bissell Michael
Clancy Kevin
Gennari John H.
Misirli Goksel
Myers Chris
Oberortner Ernst
Sauro Herbert
Wipat Anil
Source :
Journal of Integrative Bioinformatics, Vol 16, Iss 2 (2019)
Publication Year :
2019
Publisher :
De Gruyter, 2019.

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 is 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 2.3.0 of SBOL, which builds upon version 2.2.0 published in last year’s JIB Standards in Systems Biology special issue. In particular, SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements. The new version also includes specifying types of synthetic biology activities, unambiguous locations for sequences with multiple encodings, refinement of a number of validation rules, improved figures and examples, and clarification on a number of issues related to the use of external ontology terms.

Details

Language :
English
ISSN :
16134516
Volume :
16
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Integrative Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.6c6e56ec2e94b8aa1847a07c537a2c4
Document Type :
article
Full Text :
https://doi.org/10.1515/jib-2019-0025