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Title: SynBiopython: An open-source software library for Synthetic Biology
Authors: Yeoh, Jing Wui 
Swainston, Neil
Vegh, Peter
Zulkower, Valentin
Carbonell, Pablo
Holowko, Maciej B.
Peddinti, Gopal
Poh, Chueh Loo 
Keywords: Automation
Synthetic Biology
Issue Date: 1-Jan-2021
Publisher: Oxford University Press
Citation: Yeoh, Jing Wui, Swainston, Neil, Vegh, Peter, Zulkower, Valentin, Carbonell, Pablo, Holowko, Maciej B., Peddinti, Gopal, Poh, Chueh Loo (2021-01-01). SynBiopython: An open-source software library for Synthetic Biology. Synthetic Biology 6 (1) : ysab001. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: © 2021 The Author(s) 2021. Published by Oxford University Press.
Source Title: Synthetic Biology
ISSN: 1939-7267
DOI: 10.1093/synbio/ysab001
Rights: Attribution 4.0 International
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