TY - JOUR
T1 - Synthetic Biology Open Language (SBOL) Version 2.2.0
AU - Cox, Robert Sidney
AU - Madsen, Curtis
AU - McLaughlin, James Alastair
AU - Nguyen, Tramy
AU - Roehner, Nicholas
AU - Bartley, Bryan
AU - Beal, Jacob
AU - Bissell, Michael
AU - Choi, Kiri
AU - Clancy, Kevin
AU - Grunberg, Raik
AU - Macklin, Chris
AU - Misirli, Goksel
AU - Oberortner, Ernst
AU - Pocock, Matthew
AU - Samineni, Meher
AU - Zhang, Michael
AU - Zhang, Zhen
AU - Zundel, Zach
AU - Gennari, John H.
AU - Myers, Chris
AU - Sauro, Herbert
AU - Wipat, Anil
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018/4/4
Y1 - 2018/4/4
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/627543
UR - https://www.degruyter.com/view/j/jib.ahead-of-print/jib-2018-0001/jib-2018-0001.xml
UR - http://www.scopus.com/inward/record.url?scp=85052114247&partnerID=8YFLogxK
U2 - 10.1515/jib-2018-0001
DO - 10.1515/jib-2018-0001
M3 - Article
C2 - 29605823
SN - 1613-4516
VL - 15
JO - Journal of integrative bioinformatics
JF - Journal of integrative bioinformatics
IS - 1
ER -