Evidence map›Paper›PMID 26633141›Full record

ArticlePLoS biology2015

SBOL Visual: A Graphical Language for Genetic Designs.

Jacqueline Y Quinn, Robert Sidney Cox, Aaron Adler, Jacob Beal, Swapnil Bhatia, Yizhi Cai, Joanna Chen, Kevin Clancy, Michal Galdzicki, Nathan J Hillson and 12 more

Abstract read
In one paragraph

Article in PLoS biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Standardized Golden Gate Assembly Metadata Representation Using SBOL.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Review
  8. Energy Aware Technology Mapping of Genetic Logic Circuits.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Optimization of CRISPR-Cas system for clinical cancer therapy.Bioengineering & translational medicine · 2023
    Review
  13. Review
  14. Data sharing policies: share well and you shall be rewarded.Synthetic biology (Oxford, England) · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Jacqueline Y QuinnAutodesk Research, Autodesk Inc., San Francisco, California, United States of America.
Robert Sidney CoxChemical Science and Engineering, Kobe University, Kobe, Japan.
Aaron AdlerInformation and Knowledge Technologies, Raytheon BBN Technologies, Cambridge, Massachusetts, United States of America.
Jacob BealInformation and Knowledge Technologies, Raytheon BBN Technologies, Cambridge, Massachusetts, United States of America.
Swapnil BhatiaElectrical and Computer Engineering, Boston University, Boston, Massachusetts, United States of America.
Yizhi CaiSchool of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Joanna ChenFuels Synthesis and Technologies Divisions, Joint BioEnergy Institute, Emeryville, California, United States of America.
Kevin ClancySynthetic Biology Unit, ThermoFisher Scientific, Carlsbad, California, United States of America.
Michal GaldzickiArzeda Corp, Seattle, Washington, United States of America.
Nathan J HillsonFuels Synthesis and Technologies Divisions, Joint BioEnergy Institute, Emeryville, California, United States of America.
Nicolas Le NovèreBabraham Institute, Cambridge, United Kingdom.
Akshay J MaheshwariStanford University School of Medicine, Stanford, California, United States of America.
James Alastair McLaughlinSchool of Computing Science, Newcastle University, Newcastle upon Tyne, United Kingdom.
Chris J MyersDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Umesh PDepartment of Computational Biology & Bioinformatics, University of Kerala, Kerala, India.
Matthew PocockSchool of Computing Science, Newcastle University, Newcastle upon Tyne, United Kingdom.
Cesar RodriguezDepartment of Biomedical Sciences, College of Medicine, Florida State University, Tallahassee, Florida, United States of America.
Larisa SoldatovaComputer Science, Brunel University, London, United Kingdom.
Guy-Bart V StanDepartment of Bioengineering, Centre for Synthetic Biology and Innovation, Imperial College London, South Kensington Campus, London, United Kingdom.
Neil SwainstonCentre for Synthetic Biology of Fine and Specialty Chemicals (SYNBIOCHEM), University of Manchester, Manchester, United Kingdom.
Anil WipatSchool of Computing Science, Newcastle University, Newcastle upon Tyne, United Kingdom.
Herbert M SauroBioengineering, University of Washington, Seattle, Washington, United States of America.

Funding

A synthetic biology library for the Semantic WebR42HG006737 · NHGRI · CLARK AND PARSIA, LLC · PI GENNARI, JOHN H., SIRIN, EVREN · 2011 to 2012
$848k
A synthetic biology library for the Semantic WebR41LM010745 · NLM · CLARK AND PARSIA, LLC · PI GENNARI, JOHN H., SIRIN, EVREN · 2010 to 2010
$100k
Biotechnology and Biological Sciences Research Council BB/M017702/1Biotechnology and Biological Sciences Research Council BB/M018040/1Biotechnology and Biological Sciences Research Council BB/M025640/1Biotechnology and Biological Sciences Research Council BBS/E/B/000C0419NHGRI NIH HHS R42 HG006737NLM NIH HHS R41 LM010745
6 · The paper itself

Abstract

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.

Indexed as

Models, GeneticSymbolismAnimalsChromatinChromatin Assembly and DisassemblyComputer-Aided DesignCooperative BehaviorDatabases, Nucleic AcidDNAGenetic EngineeringHumansInternetNucleotide MotifsPublicationsRegulatory Sequences, Nucleic AcidSoftwareChromatinDNA

Identifiers

PMID26633141
PMCPMC4669170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.