Zhang Michael, Zundel Zach, Myers Chris J
School of Computing , University of Utah , Salt Lake City , Utah 84112 , United States.
Department of Electrical and Computer Engineering , University of Utah , Salt Lake City , Utah 84112 , United States.
ACS Synth Biol. 2019 Oct 18;8(10):2287-2294. doi: 10.1021/acssynbio.9b00089. Epub 2019 Sep 27.
This paper describes SBOLExplorer, a system that is used to provide intuitive searching within the SynBioHub genetic design repository. SynBioHub stores genetic constructs encoded in the SBOL data format. These constructs can represent genetic parts, circuits, and sequences. These constructs are often numerous, exist in various states of completeness and documentation, and do not lend themselves to simple searching and discovery. In particular, this paper focuses on improving the search capabilities of SynBioHub. Inspiration is drawn from the techniques used to organize and search over the World Wide Web, a linked data set with many of the same properties of the SBOL data in SynBioHub. SBOLExplorer integrates these methods into SynBioHub's data representation and search, providing significant improvement over the previous search implementation based on pattern-matching.
本文介绍了SBOLExplorer,这是一个用于在SynBioHub基因设计存储库中提供直观搜索功能的系统。SynBioHub存储以SBOL数据格式编码的基因构建体。这些构建体可以代表基因元件、电路和序列。这些构建体通常数量众多,存在于各种完整度和文档记录状态中,并且不便于进行简单的搜索和发现。特别是,本文着重于提高SynBioHub的搜索能力。灵感来源于用于组织和搜索万维网的技术,万维网是一个具有许多与SynBioHub中SBOL数据相同属性的链接数据集。SBOLExplorer将这些方法集成到SynBioHub的数据表示和搜索中,相较于之前基于模式匹配的搜索实现有了显著改进。