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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| 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 |