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...

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Detalles Bibliográficos
Autores principales: Chen, Guocai, Ramírez, Juan Camilo, Deng, Nan, Qiu, Xing, Wu, Canglin, Zheng, W Jim, Wu, Hulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Database Tool
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

Internet

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

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