TRACTOR_DB: a database of regulatory networks in gamma-proteobacterial genomes
Nucleic acids res
; 33(Database issue)(1)Jan. 2005.
Article
in English
| CUMED
| ID: cum-40089
Responsible library:
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)
Full text:
Available
Collection:
National databases
/
Cuba
Database:
CUMED
Main subject:
Transcription Factors
/
Regulatory Sequences, Nucleic Acid
/
Genome, Bacterial
/
Regulon
/
Gammaproteobacteria
/
Databases, Nucleic Acid
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Nucleic acids res
Year:
2005
Document type:
Article
Institution/Affiliation country:
National Bioinformatics Center/Cuba