Evidence map›Paper›PMID 21390321›Full record

ArticlePloS one2011

Standard biological parts knowledgebase.

Michal Galdzicki, Cesar Rodriguez, Deepak Chandran, Herbert M Sauro, John H Gennari

Abstract readValidation Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A new era of synthetic biology-microbial community design.Synthetic biology (Oxford, England) · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Synbiological systems for complex natural products biosynthesis.Synthetic and systems biotechnology · 2016
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. A brief history of synthetic biology.Nature reviews. Microbiology · 2014
    Review
  15. Article
  16. Article
  17. Article
  18. Developments in the tools and methodologies of synthetic biology.Frontiers in bioengineering and biotechnology · 2014
    Review
  19. Improving collaboration by standardization efforts in systems biology.Frontiers in bioengineering and biotechnology · 2014
    Review
  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

5 authors.

Michal GaldzickiBiomedical & Health Informatics, University of Washington, Seattle, Washington, United States of America.
Cesar Rodriguez
Deepak Chandran
Herbert M Sauro
John H Gennari

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
A synthetic biology library for the Semantic WebR41LM010745 · NLM · CLARK AND PARSIA, LLC · PI GENNARI, JOHN H., SIRIN, EVREN · 2010 to 2010
$100k
FDA HHS BE08407NLM NIH HHS R41 LM010745NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

We have created the Knowledgebase of Standard Biological Parts (SBPkb) as a publically accessible Semantic Web resource for synthetic biology (sbolstandard.org). The SBPkb allows researchers to query and retrieve standard biological parts for research and use in synthetic biology. Its initial version includes all of the information about parts stored in the Registry of Standard Biological Parts (partsregistry.org). SBPkb transforms this information so that it is computable, using our semantic framework for synthetic biology parts. This framework, known as SBOL-semantic, was built as part of the Synthetic Biology Open Language (SBOL), a project of the Synthetic Biology Data Exchange Group. SBOL-semantic represents commonly used synthetic biology entities, and its purpose is to improve the distribution and exchange of descriptions of biological parts. In this paper, we describe the data, our methods for transformation to SBPkb, and finally, we demonstrate the value of our knowledgebase with a set of sample queries. We use RDF technology and SPARQL queries to retrieve candidate "promoter" parts that are known to be both negatively and positively regulated. This method provides new web based data access to perform searches for parts that are not currently possible.

Indexed as

Base SequenceInternetKnowledge BasesAlgorithmsAnimalsBiologyComputational BiologyDatabase Management SystemsDatabases, FactualGenetic EngineeringHumansInformation Storage and RetrievalModels, BiologicalPromoter Regions, GeneticRegistries

Identifiers

PMID21390321
PMCPMC3044748

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.