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...

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Detalles Bibliográficos
Autores principales: Grissa, Dhouha, Junge, Alexander, Oprea, Tudor I, Jensen, Lars Juhl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Database Update
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

Internet

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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