Name
Title | ||
|---|---|---|
The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species. |
Abstract | ||
|---|---|---|
The use of ontologies to standardize biological data and facilitate comparisons among datasets has steadily grown as the complexity and amount of available data have increased. Despite the numerous ontologies available, one area currently lacking a robust ontology is the description of vertebrate traits. A trait is defined as any measurable or observable characteristic pertaining to an organism or any of its substructures. While there are several ontologies to describe entities and processes in phenotypes, diseases, and clinical measurements, one has not been developed for vertebrate traits; the Vertebrate Trait Ontology (VT) was created to fill this void. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/2041-1480-4-13 | J. Biomedical Semantics |
Keywords | Field | DocType |
Quantitative trait loci, Gene association, Trait ontology | Ontology (information science),Data science,Data mining,Ontology,Biological data,Quantitative trait locus,Annotation,Computer science,Trait,Controlled vocabulary,Organism | Journal |
Volume | Issue | ISSN |
4 | 1 | 2041-1480 |
Citations | PageRank | References |
11 | 1.00 | 13 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carissa A Park | 1 | 25 | 3.21 |
| Susan M. Bello | 2 | 54 | 4.80 |
| Cynthia L. Smith | 3 | 177 | 12.00 |
| Zhi-Liang Hu | 4 | 86 | 6.91 |
| Diane H Munzenmaier | 5 | 54 | 7.06 |
| Rajni Nigam | 6 | 169 | 26.98 |
| Jennifer R. Smith | 7 | 132 | 18.16 |
| Mary Shimoyama | 8 | 200 | 35.46 |
| Janan T. Eppig | 9 | 830 | 287.29 |
| James M Reecy | 10 | 64 | 6.73 |