Journal article
SBOL Visual 2 Ontology
ACS synthetic biology, Vol.9(4), pp.972-977
04/17/2020
DOI: 10.1021/acssynbio.0c00046
PMID: 32227986
Abstract
Standardizing the visual representation of genetic parts and circuits is essential for unambiguously creating and interpreting genetic designs. To this end, an increasing number of tools are adopting well-defined glyphs from the Synthetic Biology Open Language (SBOL) Visual standard to represent various genetic parts and their relationships. However, the implementation and maintenance of the relationships between biological elements or concepts and their associated glyphs has up to now been left up to tool developers. We address this need with the SBOL Visual 2 Ontology, a machine-accessible resource that provides rules for mapping from genetic parts, molecules, and interactions between them, to agreed SBOL Visual glyphs. This resource, together with a web service, can be used as a library to simplify the development of visualization tools, as a stand-alone resource to computationally search for suitable glyphs, and to help facilitate integration with existing biological ontologies and standards in synthetic biology.
Details
- Title: Subtitle
- SBOL Visual 2 Ontology
- Creators
- Goksel Misirli - Keele UniversityJacob Beal - RTXThomas E. Gorochowski - University of BristolGuy-Bart Stan - Imperial College LondonAnil Wipat - Newcastle UniversityChris J. Myers - University of Utah
- Resource Type
- Journal article
- Publication Details
- ACS synthetic biology, Vol.9(4), pp.972-977
- Publisher
- Amer Chemical Soc
- DOI
- 10.1021/acssynbio.0c00046
- PMID
- 32227986
- ISSN
- 2161-5063
- eISSN
- 2161-5063
- Number of pages
- 6
- Grant note
- UF160357 / Royal Society EP/R003629/1; EP/N031962/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) 1939892 / NSF; National Science Foundation (NSF) UK Royal Academy of Engineering Chair in Emerging Technologies for Engineering Biology BB/L01386X/1 / BrisSynBio, a BBSRC/EPSRC Synthetic Biology Research Centre; UK Research & Innovation (UKRI); Biotechnology and Biological Sciences Research Council (BBSRC); Engineering & Physical Sciences Research Council (EPSRC) EP/M002187/1 / UK EPSRC Fellowship for Growth in Synthetic Biology; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) 1522074 / NSF Expeditions in Computing Program Award as part of the Living Computing Project BB/L01386X/1 / BBSRC; UK Research & Innovation (UKRI); Biotechnology and Biological Sciences Research Council (BBSRC) EP/M002187/1; EP/N031962/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC)
- Language
- English
- Date published
- 04/17/2020
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627337202771
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