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Restructured GEO: restructuring Gene Expression Omnibus metadata for genome dynamics analysis
MOTIVATION: Gene Expression Omnibus (GEO) and other publicly available data store their metadata in the format of unstructured English text, which is very difficult for automated reuse. RESULTS: We employed text mining techniques to analyze the metadata of GEO and developed Restructured GEO database...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333964/ https://www.ncbi.nlm.nih.gov/pubmed/30649296 http://dx.doi.org/10.1093/database/bay145 |