Analyzing gene expression data in mice with the Neuro Behavior Ontology

Authors Organisations
Type Article
Original languageEnglish
Pages (from-to)32.40
Number of pages9
JournalMammalian Genome
Volume25
Issue number1-2
Early online date01 Nov 2013
DOI
Publication statusPublished - 01 Feb 2014
Links
View graph of relations
Citation formats

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.