The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.
Data(s) |
22/11/2013
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Identificador |
http://www.ncbi.nlm.nih.gov/pubmed/24267744 2041-1480-4-34 J Biomed Semantics, 2013, 4 (1), pp. 34 - ? |
Relação |
J Biomed Semantics 10.1186/2041-1480-4-34 |
Palavras-Chave | #Data integration #Evolutionary biology #Paleontology #Taxonomic rank |
Tipo |
Journal Article |
Cobertura |
England |
Resumo |
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. |
Formato |
34 - ? |
Idioma(s) |
ENG |