SBOL Visual: A Graphical Language for Genetic Designs
Abstract
© 2015 Quinn et al. 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.
- Authors:
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- Autodesk Inc., San Francisco, CA (United States)
- Kobe Univ. (Japan)
- Raytheon BBN Technologies, Cambridge, MA (United States). Information and Knowledge Technologies
- Boston Univ., MA (United States)
- Univ.of Edinburgh, Edinburgh (United Kingdom)
- Joint BioEnergy Institute, Emeryville, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- ThermoFisher Scientific, Carlsbad, CA (United States). Synthetic Biology Unit
- Arzeda Corp, Seattle, WA (United States)
- Babraham Institute, Cambridge (United Kingdom)
- Stanford Univ. School of Medicine, Stanford, CA (United States)
- Newcastle Univ., Newcastle upon Tyne (United Kingdom)
- Univ. of Utah, Salt Lake City, UT (United States)
- Univ. of Kerala, Kerala (India)
- Newcastle Univ., Newcastle upon Tyne (United Kingdom); Turing Ate My Hamster LTD, Newcastle upon Tyne (United Kingdom)
- Florida State Univ., Tallahassee, FL (United States). College of Medicine
- Brunel Univ., London (United Kingdom)
- Imperial College, London (United Kingdom)
- Univ. of Manchester (United Kingdom)
- Univ. of Washington, Seattle, WA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1256951
- Alternate Identifier(s):
- OSTI ID: 1378686
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS Biology (Online)
- Additional Journal Information:
- Journal Name: PLoS Biology (Online); Journal Volume: 13; Journal Issue: 12; Journal ID: ISSN 1545-7885
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Quinn, Jacqueline Y., Cox, Robert Sidney, Adler, Aaron, Beal, Jacob, Bhatia, Swapnil, Cai, Yizhi, Chen, Joanna, Clancy, Kevin, Galdzicki, Michal, Hillson, Nathan J., Le Novère, Nicolas, Maheshwari, Akshay J., McLaughlin, James Alastair, Myers, Chris J., P., Umesh, Pocock, Matthew, Rodriguez, Cesar, Soldatova, Larisa, Stan, Guy-Bart V., Swainston, Neil, Wipat, Anil, and Sauro, Herbert M. SBOL Visual: A Graphical Language for Genetic Designs. United States: N. p., 2015.
Web. doi:10.1371/journal.pbio.1002310.
Quinn, Jacqueline Y., Cox, Robert Sidney, Adler, Aaron, Beal, Jacob, Bhatia, Swapnil, Cai, Yizhi, Chen, Joanna, Clancy, Kevin, Galdzicki, Michal, Hillson, Nathan J., Le Novère, Nicolas, Maheshwari, Akshay J., McLaughlin, James Alastair, Myers, Chris J., P., Umesh, Pocock, Matthew, Rodriguez, Cesar, Soldatova, Larisa, Stan, Guy-Bart V., Swainston, Neil, Wipat, Anil, & Sauro, Herbert M. SBOL Visual: A Graphical Language for Genetic Designs. United States. https://doi.org/10.1371/journal.pbio.1002310
Quinn, Jacqueline Y., Cox, Robert Sidney, Adler, Aaron, Beal, Jacob, Bhatia, Swapnil, Cai, Yizhi, Chen, Joanna, Clancy, Kevin, Galdzicki, Michal, Hillson, Nathan J., Le Novère, Nicolas, Maheshwari, Akshay J., McLaughlin, James Alastair, Myers, Chris J., P., Umesh, Pocock, Matthew, Rodriguez, Cesar, Soldatova, Larisa, Stan, Guy-Bart V., Swainston, Neil, Wipat, Anil, and Sauro, Herbert M. Thu .
"SBOL Visual: A Graphical Language for Genetic Designs". United States. https://doi.org/10.1371/journal.pbio.1002310. https://www.osti.gov/servlets/purl/1256951.
@article{osti_1256951,
title = {SBOL Visual: A Graphical Language for Genetic Designs},
author = {Quinn, Jacqueline Y. and Cox, Robert Sidney and Adler, Aaron and Beal, Jacob and Bhatia, Swapnil and Cai, Yizhi and Chen, Joanna and Clancy, Kevin and Galdzicki, Michal and Hillson, Nathan J. and Le Novère, Nicolas and Maheshwari, Akshay J. and McLaughlin, James Alastair and Myers, Chris J. and P., Umesh and Pocock, Matthew and Rodriguez, Cesar and Soldatova, Larisa and Stan, Guy-Bart V. and Swainston, Neil and Wipat, Anil and Sauro, Herbert M.},
abstractNote = {© 2015 Quinn et al. 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.},
doi = {10.1371/journal.pbio.1002310},
journal = {PLoS Biology (Online)},
number = 12,
volume = 13,
place = {United States},
year = {Thu Dec 03 00:00:00 EST 2015},
month = {Thu Dec 03 00:00:00 EST 2015}
}
Web of Science
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