Journal article
Synthetic Biology Open Language Visual (SBOL Visual) Version 2.0
Journal of integrative bioinformatics, Vol.15(1), 20170074
03/19/2018
DOI: 10.1515/jib-2017-0074
PMCID: PMC6167035
PMID: 29549707
Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.0 of SBOL Visual, which builds on the prior SBOL Visual 1.0 standard by expanding diagram syntax to include functional interactions and molecular species, making the relationship between diagrams and the SBOL data model explicit, supporting families of symbol variants, clarifying a number of requirements and best practices, and significantly expanding the collection of diagram glyphs.
Details
- Title: Subtitle
- Synthetic Biology Open Language Visual (SBOL Visual) Version 2.0
- Creators
- Robert Sidney Cox - Kobe UniversityCurtis Madsen - Boston UniversityJames McLaughlin - Newcastle UniversityTramy Nguyen - University of UtahNicholas Roehner - RTXBryan Bartley - University of WashingtonSwapnil Bhatia - Boston UniversityMike Bissell - AmyrisKevin Clancy - Thermo Fisher ScientificThomas Gorochowski - University of BristolRaik Grünberg - King Abdullah University of Science and TechnologyAugustin Luna - Harvard UniversityNicolas Le Novère - Babraham InstituteMatthew Pocock - Turing InstituteHerbert Sauro - University of WashingtonJohn T Sexton - Rice UniversityGuy-Bart Stan - Imperial College LondonJeffrey J Tabor - Rice UniversityChristopher A Voigt - Massachusetts Institute of TechnologyZach Zundel - University of UtahChris Myers - University of UtahJacob Beal - RTXAnil Wipat - Newcastle University
- Resource Type
- Journal article
- Publication Details
- Journal of integrative bioinformatics, Vol.15(1), 20170074
- DOI
- 10.1515/jib-2017-0074
- PMID
- 29549707
- PMCID
- PMC6167035
- ISSN
- 1613-4516
- eISSN
- 1613-4516
- Language
- English
- Date published
- 03/19/2018
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627250702771
Metrics
2 Record Views