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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)32-40
Number of pages9
JournalMammalian Genome
Volume25
Issue number1-2
DOIs
StatePublished - Feb 2014

Bibliographical note

Funding Information:
RH was supported by the European Commission’s 7th Framework Programme, RICORDO Project (Grant No. 248502). RH, PNS, and GVG were supported by the National Institutes of Health (Grant No. R01 HG004838-02).

ASJC Scopus subject areas

  • Genetics

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