SynBiopython']python: an open-source software library for Synthetic Biology

被引:6
|
作者
Yeoh, Jing Wui [1 ]
Swainston, Neil [2 ]
Vegh, Peter [3 ]
Zulkower, Valentin [3 ]
Carbonell, Pablo [4 ,5 ]
Holowko, Maciej B. [6 ]
Peddinti, Gopal [7 ]
Poh, Chueh Loo [1 ]
机构
[1] Natl Univ Singapore, Life Sci Inst, NUS Synthet Biol Clin & Technol Innovat SynCTI, Singapore, Singapore
[2] Univ Liverpool, Inst Syst Mol & Integrat Biol, Liverpool, Merseyside, England
[3] Univ Edinburgh, Edinburgh Genome Foundry, Edinburgh, Midlothian, Scotland
[4] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Valencia, Spain
[5] Univ Manchester, Manchester Synthet Biol Res Ctr Fine & Special Ch, Manchester Inst Biotechnol, Manchester, Lancs, England
[6] CSIRO Synthet Biol Future Sci Platform, Canberra, ACT, Australia
[7] VTT Tech Res Ctr Finland, Espoo, Finland
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
Software; Synthetic Biology; Biofoundries; Open-source; Automation; MARKUP LANGUAGE; DNA; VISUALIZATION; DESIGNS;
D O I
10.1093/synbio/ysab001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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: http://synbiopython.org.
引用
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页数:9
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