A standard-enabled workflow for synthetic biology

Chris J. Myers, Jacob Beal, Thomas E. Gorochowski, Hiroyuki Kuwahara, Curtis Madsen, James Alastair McLaughlin, Göksel Mısırlı, Tramy Nguyen, Ernst Oberortner, Meher Samineni, Anil Wipat, Michael Zhang, Zach Zundel

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

A synthetic biology workflow is composed of data repositories that provide information about genetic parts, sequence-level design tools to compose these parts into circuits, visualization tools to depict these designs, genetic design tools to select parts to create systems, and modeling and simulation tools to evaluate alternative design choices. Data standards enable the ready exchange of information within such a workflow, allowing repositories and tools to be connected from a diversity of sources. The present paper describes one such workflow that utilizes, among others, the Synthetic Biology Open Language (SBOL) to describe genetic designs, the Systems Biology Markup Language to model these designs, and SBOL Visual to visualize these designs. We describe how a standard-enabled workflow can be used to produce types of design information, including multiple repositories and software tools exchanging information using a variety of data standards. Recently, the ACS Synthetic Biology journal has recommended the use of SBOL in their publications.
Original languageEnglish (US)
Pages (from-to)793-803
Number of pages11
JournalBiochemical Society Transactions
Volume45
Issue number3
DOIs
StatePublished - Jun 15 2017

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