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

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. We used g...

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Detalles Bibliográficos
Autores principales: Tomczak, Aurelie, Mortensen, Jonathan M., Winnenburg, Rainer, Liu, Charles, Alessi, Dominique T., Swamy, Varsha, Vallania, Francesco, Lofgren, Shane, Haynes, Winston, Shah, Nigam H., Musen, Mark A., Khatri, Purvesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865181/
https://www.ncbi.nlm.nih.gov/pubmed/29572502
http://dx.doi.org/10.1038/s41598-018-23395-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865181/
https://www.ncbi.nlm.nih.gov/pubmed/29572502
http://dx.doi.org/10.1038/s41598-018-23395-2

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