RegulonDB (version 5.0): Escherichia coli K-12 transcriptional regulatory network, operon organization, and growth conditions.


Por: Salgado H., Gama-Castro S., Peralta-Gil M., Díaz-Peredo E., Sánchez-Solano F., Santos-Zavaleta A., Martínez-Flores I., Jiménez-Jacinto V., Bonavides-Martínez C., Segura-Salazar J., Martínez-Antonio A., Collado-Vides J.

Publicada: 1 ene 2006
Resumen:
RegulonDB is the internationally recognized reference database of Escherichia coli K-12 offering curated knowledge of the regulatory network and operon organization. It is currently the largest electronically-encoded database of the regulatory network of any free-living organism. We present here the recently launched RegulonDB version 5.0 radically different in content, interface design and capabilities. Continuous curation of original scientific literature provides the evidence behind every single object and feature. This knowledge is complemented with comprehensive computational predictions across the complete genome. Literature-based and predicted data are clearly distinguished in the database. Starting with this version, RegulonDB public releases are synchronized with those of EcoCyc since our curation supports both databases. The complex biology of regulation is simplified in a navigation scheme based on three major streams: genes, operons and regulons. Regulatory knowledge is directly available in every navigation step. Displays combine graphic and textual information and are organized allowing different levels of detail and biological context. This knowledge is the backbone of an integrated system for the graphic display of the network, graphic and tabular microarray comparisons with curated and predicted objects, as well as predictions across bacterial genomes, and predicted networks of functionally related gene products. Access RegulonDB at http://regulondb.ccg.unam.mx.

Filiaciones:
Salgado H.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Gama-Castro S.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Peralta-Gil M.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Díaz-Peredo E.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Sánchez-Solano F.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Santos-Zavaleta A.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Martínez-Flores I.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Jiménez-Jacinto V.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Bonavides-Martínez C.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Segura-Salazar J.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Martínez-Antonio A.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico

Collado-Vides J.:
 Program of Computational Genomics, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A. Cuernavaca, Morelos, 62100, Mexico
ISSN: 03051048
Editorial
Oxford University Press, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 34 Número: Data
Páginas: 394-397
WOS Id: 000239307700086
ID de PubMed: 16381895