Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations

Abstract Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the ontology and the annotations — evolve rapidly....

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Detalhes bibliográficos

Principais autores:	Aurelie Tomczak, Jonathan M. Mortensen, Rainer Winnenburg, Charles Liu, Dominique T. Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston Haynes, Nigam H. Shah, Mark A. Musen, Purvesh Khatri
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2018-03-01
Colecção:	Scientific Reports
Acesso em linha:	https://doi.org/10.1038/s41598-018-23395-2
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