Journal of Integrative Bioinformatics (Apr 2018)

Synthetic Biology Open Language (SBOL) Version 2.2.0

  • Cox Robert Sidney,
  • Madsen Curtis,
  • McLaughlin James Alastair,
  • Nguyen Tramy,
  • Roehner Nicholas,
  • Bartley Bryan,
  • Beal Jacob,
  • Bissell Michael,
  • Choi Kiri,
  • Clancy Kevin,
  • Grünberg Raik,
  • Macklin Chris,
  • Misirli Goksel,
  • Oberortner Ernst,
  • Pocock Matthew,
  • Samineni Meher,
  • Zhang Michael,
  • Zhang Zhen,
  • Zundel Zach,
  • Gennari John H.,
  • Myers Chris,
  • Sauro Herbert,
  • Wipat Anil

DOI
https://doi.org/10.1515/jib-2018-0001
Journal volume & issue
Vol. 15, no. 1

Abstract

Read online

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