Beal Jacob, Nguyen Tramy, Gorochowski Thomas E, Goñi-Moreno Angel, Scott-Brown James, McLaughlin James Alastair, Madsen Curtis, Aleritsch Benjamin, Bartley Bryan, Bhakta Shyam, Bissell Mike, Castillo Hair Sebastian, Clancy Kevin, Luna Augustin, Le Novère Nicolas, Palchick Zach, Pocock Matthew, Sauro Herbert, Sexton John T, Tabor Jeffrey J, Voigt Christopher A, Zundel Zach, Myers Chris, Wipat Anil
BioCoder Consulting , Carlsbad 92008 , California , United States.
Raytheon BBN Technologies , Arlington , Virginia 22209 , United States.
ACS Synth Biol. 2019 Aug 16;8(8):1818-1825. doi: 10.1021/acssynbio.9b00139. Epub 2019 Aug 5.
Biological engineers often find it useful to communicate using diagrams. These diagrams can include information both about the structure of the nucleic acid sequences they are engineering and about the functional relationships between features of these sequences and/or other molecular species. A number of conventions and practices have begun to emerge within synthetic biology for creating such diagrams, and the Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard to organize, systematize, and extend such conventions in order to produce a coherent visual language. Here, we describe SBOL Visual version 2, which expands previous diagram standards to include new functional interactions, categories of molecular species, support for families of glyph variants, and the ability to indicate modular structure and mappings between elements of a system. SBOL Visual 2 also clarifies a number of requirements and best practices, significantly expands the collection of glyphs available to describe genetic features, and can be readily applied using a wide variety of software tools, both general and bespoke.
生物工程师常常发现使用图表进行交流很有用。这些图表可以包含有关他们正在设计的核酸序列结构的信息,以及有关这些序列特征和/或其他分子种类之间功能关系的信息。合成生物学领域已经出现了一些用于创建此类图表的惯例和做法,并且已经开发了合成生物学开放语言可视化(SBOL Visual)作为一种标准,以组织、系统化和扩展此类惯例,从而产生一种连贯的视觉语言。在此,我们描述SBOL Visual版本2,它扩展了以前的图表标准,以包括新的功能相互作用、分子种类类别、对字形变体家族的支持,以及指示系统元素之间的模块化结构和映射的能力。SBOL Visual 2还阐明了一些要求和最佳实践,显著扩展了可用于描述遗传特征的字形集合,并且可以使用各种通用和定制的软件工具轻松应用。