期刊
NATURE BIOTECHNOLOGY
卷 32, 期 6, 页码 545-550出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nbt.2891
关键词
-
资金
- Microsoft Computational Challenges in Synthetic Biology Initiative
- Autodesk, Inc.
- National Science Foundation [0527023, 1147158, EF-0850100, CCF-1218095]
- National Library of Medicine [R41 LM010745, T15 LM007442]
- National Human Genome Research Institute [R42 HG006737]
- Agilent Technologies' Applications and Core Technology University Research (ACT-UR) program
- Defense Advanced Research Projects Agency (DARPA) [HR0011-10-C-0168]
- Engineering and Physical Sciences Research Council EPSRC) - Flowers Consortium project [EP/J02175X/1]
- EPSRC - Centre for Synthetic Biology and Innovation at Imperial College [EP/G036004/1]
- Office of Science, Office of Biological and Environmental Research
- US Department of Energy [DE-AC02-05CH11231]
- EPSRC [EP/G036004/1, EP/J02175X/1, EP/K020617/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/J02175X/1, EP/K020617/1, EP/G036004/1] Funding Source: researchfish
- Direct For Biological Sciences
- Emerging Frontiers [0527023] Funding Source: National Science Foundation
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1147158] Funding Source: National Science Foundation
The re-use of previously validated designs is critical to the evolution of synthetic biology from a research discipline to an engineering practice. Here we describe the Synthetic Biology Open Language (SBOL), a proposed data standard for exchanging designs within the synthetic biology community. SBOL represents synthetic biology designs in a community-driven, formalized format for exchange between software tools, research groups and commercial service providers. The SBOL Developers Group has implemented SBOL as an XML/RDF serialization and provides software libraries and specification documentation to help developers implement SBOL in their own software. We describe early successes, including a demonstration of the utility of SBOL for information exchange between several different software tools and repositories from both academic and industrial partners. As a community-driven standard, SBOL will be updated as synthetic biology evolves to provide specific capabilities for different aspects of the synthetic biology workflow.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据