Evidence map›Paper›PMID 27336457›Full record

ArticlePLoS computational biology2016

Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources.

Andra Waagmeester, Martina Kutmon, Anders Riutta, Ryan Miller, Egon L Willighagen, Chris T Evelo, Alexander R Pico

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Publishing reproducible dynamic kinetic models.Briefings in bioinformatics · 2021
    Article
  10. Article
  11. Article
  12. WikiPathways: connecting communities.Nucleic acids research · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    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

7 authors.

Andra WaagmeesterDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.
Martina KutmonDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-7699-8191
Anders RiuttaGladstone Institutes, San Francisco, California, United States of America.ORCID 0000-0002-4693-0591
Ryan MillerDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-3477-7443
Egon L WillighagenDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7542-0286
Chris T EveloDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-5301-3142
Alexander R PicoGladstone Institutes, San Francisco, California, United States of America.

Funding

WikiPathways Project: At the Intersection of Big Data and Researcher KnowledgeR01GM100039 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI PICO, ALEXANDER R · 2012 to 2020
$3.4M
NIGMS NIH HHS R01 GM100039
6 · The paper itself

Abstract

The diversity of online resources storing biological data in different formats provides a challenge for bioinformaticians to integrate and analyse their biological data. The semantic web provides a standard to facilitate knowledge integration using statements built as triples describing a relation between two objects. WikiPathways, an online collaborative pathway resource, is now available in the semantic web through a SPARQL endpoint at http://sparql.wikipathways.org. Having biological pathways in the semantic web allows rapid integration with data from other resources that contain information about elements present in pathways using SPARQL queries. In order to convert WikiPathways content into meaningful triples we developed two new vocabularies that capture the graphical representation and the pathway logic, respectively. Each gene, protein, and metabolite in a given pathway is defined with a standard set of identifiers to support linking to several other biological resources in the semantic web. WikiPathways triples were loaded into the Open PHACTS discovery platform and are available through its Web API (https://dev.openphacts.org/docs) to be used in various tools for drug development. We combined various semantic web resources with the newly converted WikiPathways content using a variety of SPARQL query types and third-party resources, such as the Open PHACTS API. The ability to use pathway information to form new links across diverse biological data highlights the utility of integrating WikiPathways in the semantic web.

Indexed as

Biological OntologiesInternetSemanticsBiomedical ResearchComputational BiologyHumansInformation Storage and Retrieval

Identifiers

PMID27336457
PMCPMC4918977

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.