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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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| 出版年: | Sci Rep |
|---|---|
| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5865181/ https://ncbi.nlm.nih.gov/pubmed/29572502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-23395-2 |
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