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PMID: 20064205 Published · epublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Integrating phenotype ontologies across multiple species.

Genome biology ·Vol. 11 ·No. 1 ·2010-01-08 ·Pages R2

Mungall CJ, Gkoutos GV, Smith CL, Haendel MA, Lewis SE, Ashburner M

Abstract

Phenotype ontologies are typically constructed to serve the needs of a particular community, such as annotation of genotype-phenotype associations in mouse or human. Here we demonstrate how these ontologies can be improved through assignment of logical definitions using a core ontology of phenotypic qualities and multiple additional ontologies from the Open Biological Ontologies library. We also show how these logical definitions can be used for data integration when combined with a unified multi-species anatomy ontology.

MeSH Terms
Algorithms Animals Automation Chromosome Mapping/methods Computational Biology/methods Genome Genome, Human Genotype Humans Mice Models, Biological Phenotype Software Species Specificity
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Mungall Christopher J
Genome Dynamics Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. cjm@berkeleybop.org
Gkoutos Georgios V
Smith Cynthia L
Haendel Melissa A
Lewis Suzanna E
Ashburner Michael
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
DOI
10.1186/gb-2010-11-1-r2
Email
cjm@berkeleybop.org
Published
2010-01-08
Epub
2010-00-08
Pages
R2
Language
English
Region
England
NLM ID
100960660
PMCID
PMC2847714
Subset
IM
Grants
NHGRI NIH HHS · HG000330 · United States
Biotechnology and Biological Sciences Research Council · BG/G004358/1 · United Kingdom
Medical Research Council · G8225539 · United Kingdom
NHGRI NIH HHS · R01 HG004838 · United States
Biotechnology and Biological Sciences Research Council · BB/G004358/1 · United Kingdom
NHGRI NIH HHS · U54 HG004028 · United States
External Links
PubMed source DOI: 10.1186/gb-2010-11-1-r2 PMC Full Text View journal details
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