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Lookup NU author(s): James Alastair McLaughlin McLaughlin,
Dr Matthew Pocock
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As improvements in DNA synthesis technology and assembly methods make combinatorial assembly of genetic constructs increasingly accessible, methods for representing genetic constructs likewise need to improve to handle the exponential growth of combinatorial design space. To this end, we present a community accepted extension of the SBOL data standard that allows for the efficient and flexible encoding of combinatorial designs. This extension includes data structures for representing genetic designs with "variable" components that can be implemented by choosing one of many linked designs for existing genetic parts or constructs. We demonstrate the representational power of the SBOL combinatorial design extension through case studies on metabolic pathway design and genetic circuit design, and we report the expansion of the SBOLDesigner software tool to support users in creating and modifying combinatorial designs in SBOL.
Author(s): Roehner N, Bartley B, Beal J, McLaughlin J, Pocock M, Zhang M, Zundel Z, Myers CJ
Publication type: Article
Publication status: Published
Journal: ACS Synthetic Biology
Online publication date: 17/06/2019
Acceptance date: 02/04/2019
ISSN (electronic): 2161-5063
Publisher: American Chemical Society
PubMed id: 31260271
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