Synthetic Biology Open Language (SBOL) Version 2.3

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.

Curtis Madsen
Curtis Madsen
Sandia National Laboratories, R&D S&E, Computer Science
Nicholas Roehner
Nicholas Roehner
Raytheon BBN Technologies, Researcher
Tramy Nguyen
Tramy Nguyen
Raytheon BBN Technologies, Research Scientist/Software Engineer
Meher Samineni
Meher Samineni
REI, Software Engineer
Michael Zhang
Michael Zhang
Google, Engineer
Zhen Zhang
Zhen Zhang
Utah State University, Assistant Professor
Zach Zundel
Zach Zundel
Facebook, Product Engineer
Chris Myers
Chris Myers
Department Chair / Professor

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