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J Integr Bioinform. 2018 Apr 2;15(1). pii: /j/jib.2018.15.issue-1/jib-2018-0001/jib-2018-0001.xml. doi: 10.1515/jib-2018-0001.

Synthetic Biology Open Language (SBOL) Version 2.2.0.

Author information

1
Prospect Bio, Brisbane, CA, USA.
2
Boston University, Boston, MA, USA.
3
Newcastle University, Newcastle, United Kingdom of Great Britain and Northern Ireland.
4
University of Utah, Salt Lake City, UT, USA.
5
Raytheon BBN Technologies, Cambridge, MA, USA.
6
University of Washington, Seattle, WA, USA.
7
Amyris, Inc., Emeryville, CA, USA.
8
ThermoFisher Scientific, San Diego, CA, USA.
9
King Abdullah University for Science and Technology, Thuwal, Saudi Arabia.
10
Keele University, Keele, Staffordshire, United Kingdom of Great Britain and Northern Ireland.
11
DOE Joint Genome Institute, Walnut Creek, CA, USA.
12
Turing Ate My Hamster LTD, Newcastle, UK.
13
Utah State University, Logan, UT, USA.

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 2.2.0 of SBOL that builds upon version 2.1.0 published in last year's JIB special issue. In particular, SBOL 2.2.0 includes improved description and validation rules for genetic design provenance, an extension to support combinatorial genetic designs, a new class to add non-SBOL data as attachments, a new class for genetic design implementations, and a description of a methodology to describe the entire design-build-test-learn cycle within the SBOL data model.

KEYWORDS:

Standards; Synthetic Biology; Synthetic Biology Open Language

PMID:
29605823
PMCID:
PMC6167039
DOI:
10.1515/jib-2018-0001
[Indexed for MEDLINE]
Free PMC Article

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