The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

Abstract Background Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an incr...

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Autores principales:	Malcolm E. Fisher, Erik Segerdell, Nicolas Matentzoglu, Mardi J. Nenni, Joshua D. Fortriede, Stanley Chu, Troy J. Pells, David Osumi-Sutherland, Praneet Chaturvedi, Christina James-Zorn, Nivitha Sundararaj, Vaneet S. Lotay, Virgilio Ponferrada, Dong Zhuo Wang, Eugene Kim, Sergei Agalakov, Bradley I. Arshinoff, Kamran Karimi, Peter D. Vize, Aaron M. Zorn
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2022-03-01
Colección:	BMC Bioinformatics
Materias:	Xenopus Phenotypes Ontology Disease models
Acceso en línea:	https://doi.org/10.1186/s12859-022-04636-8
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