Title
Synthetic Biology Open Language (SBOL) Version 2.2.0.
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.
Year
DOI
Venue
2018
10.1515/jib-2018-0001
JOURNAL OF INTEGRATIVE BIOINFORMATICS
Keywords
Field
DocType
Synthetic Biology,Synthetic Biology Open Language,Standards
Data science,Data mining,Computer science,Synthetic biology
Journal
Volume
Issue
ISSN
15
SP1
1613-4516
Citations 
PageRank 
References 
1
0.37
0
Authors
23