Evidence map›Paper›PMID 15642100›Full record

ArticleGenome biology2005

Using ontologies to describe mouse phenotypes.

Georgios V Gkoutos, Eain C J Green, Ann-Marie Mallon, John M Hancock, Duncan Davidson

Abstract read
In one paragraph

Article in Genome biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.

0numbers the graph read from it
0cells of the map it votes in
130citing 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

130 citing papers in PubMed.

  1. Article
  2. Two new species of NeotropicalBiodiversity data journal · 2026
    Article
  3. Article
  4. Article
  5. Automated annotation of scientific texts for ML-based keyphrase extraction and validation.Database : the journal of biological databases and curation · 2024
    Article
  6. Article
  7. GallOnt: An ontology for plant gall phenotypes.Biodiversity data journal · 2024
    Article
  8. The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

70 more citing papers are in PubMed but not listed here.

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.

Georgios V GkoutosBioinformatics Group, MRC Mammalian Genetics Unit, Harwell, Oxfordshire, OX11 0RD, UK. g.gkoutos@har.mrc.ac.uk
Eain C J Green
Ann-Marie Mallon
John M Hancock
Duncan Davidson

Funding

Medical Research Council MC_U142684171
6 · The paper itself

Abstract

The mouse is an important model of human genetic disease. Describing phenotypes of mutant mice in a standard, structured manner that will facilitate data mining is a major challenge for bioinformatics. Here we describe a novel, compositional approach to this problem which combines core ontologies from a variety of sources. This produces a framework with greater flexibility, power and economy than previous approaches. We discuss some of the issues this approach raises.

Indexed as

PhenotypeAnimalsComputational BiologyDisease Models, AnimalGenotypeHumansMedical InformaticsMiceVocabulary, Controlled

Identifiers

PMID15642100
PMCPMC549069

What OpenQuestion holds

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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.