Evidence map›Paper›PMID 33015004›Full record

ArticleFrontiers in bioengineering and biotechnology2020

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering.

James Alastair McLaughlin, Jacob Beal, Göksel Mısırlı, Raik Grünberg, Bryan A Bartley, James Scott-Brown, Prashant Vaidyanathan, Pedro Fontanarrosa, Ernst Oberortner, Anil Wipat and 2 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. SynVectorDB: embedding-based retrieval system for synthetic biology parts.Database : the journal of biological databases and curation · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Functional Synthetic Biology.Synthetic biology (Oxford, England) · 2023
    Review
  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

12 authors.

James Alastair McLaughlinSchool of Computing, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
Jacob BealRaytheon BBN Technologies, Cambridge, MA, United States.
Göksel MısırlıSchool of Mathematics and Computing, Keele University, Keele, United Kingdom.
Raik GrünbergComputational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Bryan A BartleyRaytheon BBN Technologies, Cambridge, MA, United States.
James Scott-BrownNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Prashant VaidyanathanMicrosoft Research, Cambridge, United Kingdom.
Pedro FontanarrosaDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Ernst OberortnerLawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States.
Anil WipatSchool of Computing, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
Thomas E GorochowskiSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Chris J MyersDepartment of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO, United States.

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

The Synthetic Biology Open Language (SBOL) is a community-developed data standard that allows knowledge about biological designs to be captured using a machine-tractable, ontology-backed representation that is built using Semantic Web technologies. While early versions of SBOL focused only on the description of DNA-based components and their sub-components, SBOL can now be used to represent knowledge across multiple scales and throughout the entire synthetic biology workflow, from the specification of a single molecule or DNA fragment through to multicellular systems containing multiple interacting genetic circuits. The third major iteration of the SBOL standard, SBOL3, is an effort to streamline and simplify the underlying data model with a focus on real-world applications, based on experience from the deployment of SBOL in a variety of scientific and industrial settings. Here, we introduce the SBOL3 specification both in comparison to previous versions of SBOL and through practical examples of its use.

Indexed as

data exchangedata standardsknowledge representationSBOLsynthetic biology

Identifiers

PMID33015004
PMCPMC7516281

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.