Author | |
Abstract |
Plant phenotype datasets include many different types of data, formats, and terms from specialized vocabularies. Because these datasets were designed for different audiences, they frequently contain language and details tailored to investigators with different research objectives and backgrounds. Although phenotype comparisons across datasets have long been possible on a small scale, comprehensive queries and analyses that span a broad set of reference species, research disciplines, and knowledge domains continue to be severely limited by the absence of a common semantic framework. |
Year of Publication |
2015
|
Journal |
Plant methods
|
Volume |
11
|
Number of Pages |
10
|
Date Published |
2015
|
ISSN Number |
1746-4811
|
DOI |
10.1186/s13007-015-0053-y
|
Alternate Journal |
Plant Methods
|
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