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Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration
The scientific knowledge about which genes are involved in which diseases grows rapidly, which makes it difficult to keep up with new publications and genetics datasets. The DISEASES database aims to provide a comprehensive overview by systematically integrating and assigning confidence scores to ev...
Autores principales: | Grissa, Dhouha, Junge, Alexander, Oprea, Tudor I, Jensen, Lars Juhl |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216524/ https://www.ncbi.nlm.nih.gov/pubmed/35348648 http://dx.doi.org/10.1093/database/baac019 |
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