Synthetic Biology Open Language (SBOL) Version 2.2.0

Journal of Integrative Bioinformatics
Robert Sidney CoxAnil Wipat

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.

Citations

Mar 30, 2018·Journal of Integrative Bioinformatics·Falk SchreiberDagmar Waltemath
Aug 24, 2018·PloS One·René DaerKarmella A Haynes
Dec 14, 2018·Natural Computing·Yiyu XiangBaojun Wang
Oct 6, 2020·Frontiers in Bioengineering and Biotechnology·James Alastair McLaughlinChris J Myers
Aug 23, 2021·Molecular Biotechnology·Dipinte GuptaRajiv Ranjan
Nov 15, 2018·ACS Synthetic Biology·Bryan A BartleyHerbert M Sauro

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