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Automatic reconstruction of a bacterial regulatory network using Natural Language Processing

BACKGROUND: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Language Processing system that creates computer-readable networks of regulatory inte...

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Detalles Bibliográficos
Autores principales: Rodríguez-Penagos, Carlos, Salgado, Heladia, Martínez-Flores, Irma, Collado-Vides, Julio
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1964768/
https://www.ncbi.nlm.nih.gov/pubmed/17683642
http://dx.doi.org/10.1186/1471-2105-8-293