The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.

dc.contributor.author

Midford, Peter E

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Dececchi, Thomas Alex

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Balhoff, James P

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Dahdul, Wasila M

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Ibrahim, Nizar

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Lapp, Hilmar

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Lundberg, John G

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Mabee, Paula M

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Sereno, Paul C

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Westerfield, Monte

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Vision, Todd J

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Blackburn, David C

dc.coverage.spatial

England

dc.date.accessioned

2015-05-27T17:59:41Z

dc.date.issued

2013-11-22

dc.description.abstract

BACKGROUND: A hierarchical taxonomy of organisms is a prerequisite for semantic integration of biodiversity data. Ideally, there would be a single, expansive, authoritative taxonomy that includes extinct and extant taxa, information on synonyms and common names, and monophyletic supraspecific taxa that reflect our current understanding of phylogenetic relationships. DESCRIPTION: As a step towards development of such a resource, and to enable large-scale integration of phenotypic data across vertebrates, we created the Vertebrate Taxonomy Ontology (VTO), a semantically defined taxonomic resource derived from the integration of existing taxonomic compilations, and freely distributed under a Creative Commons Zero (CC0) public domain waiver. The VTO includes both extant and extinct vertebrates and currently contains 106,947 taxonomic terms, 22 taxonomic ranks, 104,736 synonyms, and 162,400 cross-references to other taxonomic resources. Key challenges in constructing the VTO included (1) extracting and merging names, synonyms, and identifiers from heterogeneous sources; (2) structuring hierarchies of terms based on evolutionary relationships and the principle of monophyly; and (3) automating this process as much as possible to accommodate updates in source taxonomies. CONCLUSIONS: The VTO is the primary source of taxonomic information used by the Phenoscape Knowledgebase (http://phenoscape.org/), which integrates genetic and evolutionary phenotype data across both model and non-model vertebrates. The VTO is useful for inferring phenotypic changes on the vertebrate tree of life, which enables queries for candidate genes for various episodes in vertebrate evolution.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/24267744

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2041-1480-4-34

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https://hdl.handle.net/10161/10189

dc.language

eng

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Springer Science and Business Media LLC

dc.relation.ispartof

J Biomed Semantics

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10.1186/2041-1480-4-34

dc.title

The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.

dc.type

Journal article

duke.contributor.orcid

Lapp, Hilmar|0000-0001-9107-0714

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/24267744

pubs.begin-page

34

pubs.issue

1

pubs.organisational-group

Duke

pubs.organisational-group

Staff

pubs.publication-status

Published online

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4

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