Lawrence Berkeley National Laboratory Recent Work Title SBOL Visual : A Graphical Language for Genetic Designs Permalink

semanticscholar(2015)

引用 0|浏览3
暂无评分
摘要
Synthetic Biology Open Language (SBOL) Visual is a graphical standard for genetic engineering. It consists of symbols representing DNA subsequences, including regulatory elements and DNA assembly features. These symbols can be used to draw illustrations for communication and instruction, and as image assets for computer-aided design. SBOL Visual is a community standard, freely available for personal, academic, and commercial use (Creative Commons CC0 license). We provide prototypical symbol images that have been used in scientific publications and software tools. We encourage users to use and modify them freely, and to join the SBOL Visual community: http://www.sbolstandard.org/ visual. PLOS Biology | DOI:10.1371/journal.pbio.1002310 December 3, 2015 1 / 9 OPEN ACCESS Citation: Quinn JY, Cox RS III, Adler A, Beal J, Bhatia S, Cai Y, et al. (2015) SBOL Visual: A Graphical Language for Genetic Designs. PLoS Biol 13(12): e1002310. doi:10.1371/journal.pbio.1002310 Published: December 3, 2015 Copyright: © 2015 Quinn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors acknowledge funding from Autodesk, Inc., Stanford University, Brunel University, and the National Science Foundation Synthetic Biology Engineering Research Center and Grant EF0850100. The portion of this work conducted by the Joint BioEnergy Institute was supported by the Office of Science, Office of Biological and Environmental Research, of the US Department of Energy (Contract No. DE-AC02-05CH11231, to NJH). The portion of the work conducted by the University of Washington was supported by the National Library of Medicine (R41 LM010745), the National Human Genome Research Institute (R42 HG006737) and NSF awards: Theoretical Biology 0827592, Molecular and Cellular Biosciences 1158573. The portions of this work conducted by Newcastle University and Imperial College London were supported by the UK Engineering and Physical Sciences Research Council (Flowers Consortium, Grant No. EP/ J02175X/1, to GBVS). The work conducted by the
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要