Evidence map›Paper›PMID 24008420›Full record

ArticleBioinformatics (Oxford, England)2013

OntoQuery: easy-to-use web-based OWL querying.

Ilinca Tudose, Janna Hastings, Venkatesh Muthukrishnan, Gareth Owen, Steve Turner, Adriano Dekker, Namrata Kale, Marcus Ennis, Christoph Steinbeck

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

9 authors.

Ilinca TudoseCheminformatics and Metabolism, European Bioinformatics Institute, Cambridge, UK, Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland and Evolutionary Bioinformatics, Swiss Institute of Bioinformatics, Lausanne, Romandy, Switzerland.
Janna Hastings
Venkatesh Muthukrishnan
Gareth Owen
Steve Turner
Adriano Dekker
Namrata Kale
Marcus Ennis
Christoph Steinbeck

Funding

Biotechnology and Biological Sciences Research Council BB/G022747/1
6 · The paper itself

Abstract

summaryThe Web Ontology Language (OWL) provides a sophisticated language for building complex domain ontologies and is widely used in bio-ontologies such as the Gene Ontology. The Protégé-OWL ontology editing tool provides a query facility that allows composition and execution of queries with the human-readable Manchester OWL syntax, with syntax checking and entity label lookup. No equivalent query facility such as the Protégé Description Logics (DL) query yet exists in web form. However, many users interact with bio-ontologies such as chemical entities of biological interest and the Gene Ontology using their online Web sites, within which DL-based querying functionality is not available. To address this gap, we introduce the OntoQuery web-based query utility. AVAILABILITY AND IMPLEMENTATION: The source code for this implementation together with instructions for installation is available at http://github.com/IlincaTudose/OntoQuery. OntoQuery software is fully compatible with all OWL-based ontologies and is available for download (CC-0 license). The ChEBI installation, ChEBI OntoQuery, is available at http://www.ebi.ac.uk/chebi/tools/ontoquery. CONTACT: hastings@ebi.ac.uk.

Indexed as

Biological OntologiesSoftwareInternet

Identifiers

PMID24008420
PMCPMC3810857

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.