TRACTOR_DB: a database of regulatory networks in gamma-proteobacterial genomes
Nucleic acids res
; 33(Database issue)(1)Jan. 2005.
Artigo
em Inglês
| CUMED
| ID: cum-40089
Biblioteca responsável:
CU1.1
ABSTRACT
Experimental data on the Escherichia coli transcriptional regulatory system has been used in the past years to predict new regulatory elements (promoters, transcription factors (TFs), TFs' binding sites and operons) within its genome. As more genomes of gamma-proteobacteria are being sequenced, the prediction of these elements in a growing number of organisms has become more feasible, as a step towards the study of how different bacteria respond to environmental changes at the level of transcriptional regulation. In this work, we present TRACTOR_DB (TRAnscription FaCTORs' predicted binding sites in prokaryotic genomes), a relational database that contains computational predictions of new members of 74 regulons in 17 gamma-proteobacterial genomes. For these predictions we used a comparative genomics approach regarding which several proof-of-principle articles for large regulons have been published. TRACTOR_DB may be currently accessed at http//www.bioinfo.cu/Tractor_DB, http//www.tractor.lncc.br/ or at http//www.cifn.unam.mx/Computational_Genomics/tractorDB. Contact Email id is tractor@cifn.unam.mx(AU)
Texto completo:
Disponível
Coleções:
Bases de dados nacionais
/
Cuba
Base de dados:
CUMED
Assunto principal:
Fatores de Transcrição
/
Sequências Reguladoras de Ácido Nucleico
/
Genoma Bacteriano
/
Regulon
/
Gammaproteobacteria
/
Bases de Dados de Ácidos Nucleicos
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Nucleic acids res
Ano de publicação:
2005
Tipo de documento:
Artigo
Instituição/País de afiliação:
National Bioinformatics Center/Cuba