Analyzing gene expression data in mice with the Neuro Behavior Ontology

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Analyzing gene expression data in mice with the Neuro Behavior Ontology. / Hoehndorf, Robert; Hancock, John M.; Hardy, Nigel W; Mallon, Ann-Marie; Schofield, Paul N; Gkoutos, Georgios V.

In: Mammalian Genome, Vol. 25, No. 1-2, 01.02.2014, p. 32.40.

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Harvard

Hoehndorf, R, Hancock, JM, Hardy, NW, Mallon, A-M, Schofield, PN & Gkoutos, GV 2014, 'Analyzing gene expression data in mice with the Neuro Behavior Ontology' Mammalian Genome, vol. 25, no. 1-2, pp. 32.40. https://doi.org/10.1007/s00335-013-9481-z

APA

Hoehndorf, R., Hancock, J. M., Hardy, N. W., Mallon, A-M., Schofield, P. N., & Gkoutos, G. V. (2014). Analyzing gene expression data in mice with the Neuro Behavior Ontology. Mammalian Genome, 25(1-2), 32.40. https://doi.org/10.1007/s00335-013-9481-z

Vancouver

Hoehndorf R, Hancock JM, Hardy NW, Mallon A-M, Schofield PN, Gkoutos GV. Analyzing gene expression data in mice with the Neuro Behavior Ontology. Mammalian Genome. 2014 Feb 1;25(1-2):32.40. https://doi.org/10.1007/s00335-013-9481-z

Author

Hoehndorf, Robert ; Hancock, John M. ; Hardy, Nigel W ; Mallon, Ann-Marie ; Schofield, Paul N ; Gkoutos, Georgios V. / Analyzing gene expression data in mice with the Neuro Behavior Ontology. In: Mammalian Genome. 2014 ; Vol. 25, No. 1-2. pp. 32.40.

Bibtex - Download

@article{e5f23aeb683b435f96829ae5c11ae30a,
title = "Analyzing gene expression data in mice with the Neuro Behavior Ontology",
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.",
author = "Robert Hoehndorf and Hancock, {John M.} and Hardy, {Nigel W} and Ann-Marie Mallon and Schofield, {Paul N} and Gkoutos, {Georgios V}",
note = "Hoehndorf, R., Hancock, J. M., Hardy, N. W., Mallon, A-M., Schofield, P. N., Gkoutos, G. V. (2014). Analyzing gene expression data in mice with the Neuro Behavior Ontology. Mammalian Genome, 25 (1-2), 32.40",
year = "2014",
month = "2",
day = "1",
doi = "10.1007/s00335-013-9481-z",
language = "English",
volume = "25",
pages = "32.40",
journal = "Mammalian Genome",
issn = "0938-8990",
publisher = "Springer Nature",
number = "1-2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Analyzing gene expression data in mice with the Neuro Behavior Ontology

AU - Hoehndorf, Robert

AU - Hancock, John M.

AU - Hardy, Nigel W

AU - Mallon, Ann-Marie

AU - Schofield, Paul N

AU - Gkoutos, Georgios V

N1 - Hoehndorf, R., Hancock, J. M., Hardy, N. W., Mallon, A-M., Schofield, P. N., Gkoutos, G. V. (2014). Analyzing gene expression data in mice with the Neuro Behavior Ontology. Mammalian Genome, 25 (1-2), 32.40

PY - 2014/2/1

Y1 - 2014/2/1

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/2160/13732

U2 - 10.1007/s00335-013-9481-z

DO - 10.1007/s00335-013-9481-z

M3 - Article

VL - 25

SP - 32.40

JO - Mammalian Genome

JF - Mammalian Genome

SN - 0938-8990

IS - 1-2

ER -

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