Evidence map›Paper›PMID 24177753›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2014

Analyzing gene expression data in mice with the Neuro Behavior Ontology.

Robert Hoehndorf, John M Hancock, Nigel W Hardy, Ann-Marie Mallon, Paul N Schofield, Georgios V Gkoutos

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Integrating phenotype ontologies with PhenomeNET.Journal of biomedical semantics · 2017
    Article
  5. Article
  6. Article
  7. Best behaviour? Ontologies and the formal description of animal behaviour.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Review
  8. Article
  9. Article
  10. Review
  11. Linking tissues to phenotypes using gene expression profiles.Database : the journal of biological databases and curation · 2014
    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

6 authors at 3 institutions in 1 country.

Robert HoehndorfDepartment of Computer Science, University of Aberystwyth, Old College, King Street, Aberystwyth, SY23 2AX, UK, roh25@aber.ac.uk.
John M Hancock
Nigel W Hardy
Ann-Marie Mallon
Paul N Schofield
Georgios V Gkoutos
Aberystwyth University · GBUniversity of Cambridge · GBMedical Research Council · GB

Funding

An Ontology of Qualities for the Annotation of Biomedical DataR01HG004838 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI LEWIS, SUZANNA E · 2009 to 2012
$1.9M
Medical Research Council MC_U142684171NHGRI NIH HHS R01 HG004838-02
6 · The paper itself

Abstract

We have applied the Neuro Behavior Ontology (NBO), an ontology for the annotation of behavioral gene functions and behavioral phenotypes, to the annotation of more than 1,000 genes in the mouse that are known to play a role in behavior. These annotations can be explored by researchers interested in genes involved in particular behaviors and used computationally to provide insights into the behavioral phenotypes resulting from differences in gene expression. We developed the OntoFUNC tool and have applied it to enrichment analyses over the NBO to provide high-level behavioral interpretations of gene expression datasets. The resulting increase in the number of gene annotations facilitates the identification of behavioral or neurologic processes by assisting the formulation of hypotheses about the relationships between gene, processes, and phenotypic manifestations resulting from behavioral observations.

Indexed as

Gene ExpressionGene Expression ProfilingGenetics, BehavioralAnimalsComputational BiologyMiceMolecular Sequence AnnotationPhenotype

Identifiers

PMID24177753
OpenAlexW1997143682

What OpenQuestion holds

Textmetadata
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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.