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

Publication ,  Journal Article
Midford, PE; Dececchi, TA; Balhoff, JP; Dahdul, WM; Ibrahim, N; Lapp, H; Lundberg, JG; Mabee, PM; Sereno, PC; Westerfield, M; Vision, TJ ...
Published in: Journal of biomedical semantics
November 2013

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.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.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.

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Published In

Journal of biomedical semantics

DOI

EISSN

2041-1480

ISSN

2041-1480

Publication Date

November 2013

Volume

4

Issue

1

Start / End Page

34

Related Subject Headings

  • 46 Information and computing sciences
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
  • 0699 Other Biological Sciences
 

Citation

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Midford, P. E., Dececchi, T. A., Balhoff, J. P., Dahdul, W. M., Ibrahim, N., Lapp, H., … Blackburn, D. C. (2013). The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes. Journal of Biomedical Semantics, 4(1), 34. https://doi.org/10.1186/2041-1480-4-34
Midford, Peter E., Thomas Alex Dececchi, James P. Balhoff, Wasila M. Dahdul, Nizar Ibrahim, Hilmar Lapp, John G. Lundberg, et al. “The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.Journal of Biomedical Semantics 4, no. 1 (November 2013): 34. https://doi.org/10.1186/2041-1480-4-34.
Midford PE, Dececchi TA, Balhoff JP, Dahdul WM, Ibrahim N, Lapp H, et al. The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes. Journal of biomedical semantics. 2013 Nov;4(1):34.
Midford, Peter E., et al. “The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.Journal of Biomedical Semantics, vol. 4, no. 1, Nov. 2013, p. 34. Epmc, doi:10.1186/2041-1480-4-34.
Midford PE, Dececchi TA, Balhoff JP, Dahdul WM, Ibrahim N, Lapp H, Lundberg JG, Mabee PM, Sereno PC, Westerfield M, Vision TJ, Blackburn DC. The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes. Journal of biomedical semantics. 2013 Nov;4(1):34.
Journal cover image

Published In

Journal of biomedical semantics

DOI

EISSN

2041-1480

ISSN

2041-1480

Publication Date

November 2013

Volume

4

Issue

1

Start / End Page

34

Related Subject Headings

  • 46 Information and computing sciences
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
  • 0699 Other Biological Sciences