TRACTOR db

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Text from the NAR 2007 Database Issue (Database Summaries) by permission of Oxford University Press.

TRACTOR db is NAR Database No. 756.

Contents

Database Description

Authors

abelito@bioinfo.cu

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&apos; binding sites, 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 FaCTORsÿ predicted sites in prokaryotic genomes), a relational database that contains computational predictions of new members of 74 regulons in eight gamma-proteobacterial genomes. To produce these predictions we used a comparative genomics approach of which several proof-of-principle articles for large regulons have been published. Furthermore, we used the predictions stored in our database to assess the conservation of regulons&apos; size across all the eight genomes and showed that a correlation exists between the conservation of a regulatory site and the structure of the Transcription Unit (TU) it regulates. TRACTOR_DB may be currently accessed at <a href="http://www.bioinfo.cu/database">http://www.bioinfo.cu/database</a>, <a href="http://www.tractor.lncc.br">http://www.tractor.lncc.br</a> or at <a href="http://www.cifn.unam.mx/Computational_Genomics/">http://www.cifn.unam.mx/Computational_Genomics/</a>.


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