Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Promoter addresses: revelations from oligonucleotide profiling applied to the Escherichia coli genome | Theoretical Biology and Medical Modelling BioMed Central Research Open Access Promoter addresses revelations from oligonucleotide profiling applied to the Escherichia coli genome Karthikeyan Sivaraman1 Aswin Sai Narain Seshasayee1 Krishnakumar Swaminathan1 Geetha Muthukumaran1 and Gautam Pennathur 1 2 Address 1Centre for Biotechnology Anna University Chennai India and 2AU-KBC for Research MIT Campus Anna University Chennai India Email Karthikeyan Sivaraman - Aswin Sai Narain Seshasayee - Krishnakumar Swaminathan - ibio2000@ Geetha Muthukumaran - geethamk@ Gautam Pennathur - pgautam@ Corresponding author Published 31 May 2005 Received 19 April 2005 Theoretical Biology and Medical Modelling 2005 2 20 doi 1742-4682-2-AcCepted 3 1 May 2005 20 This article is available from http content 2 1 20 2005 Sivaraman et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Transcription is the first step in cellular information processing. It is regulated by cis-acting elements such as promoters and operators in the DNA and trans-acting elements such as transcription factors and sigma factors. Identification of cis-acting regulatory elements on a genomic scale requires computational analysis. Results We have used oligonucleotide profiling to predict regulatory regions in a bacterial genome. The method has been applied to the Escherichia coli K12 genome and the results analyzed. The information content of the putative regulatory oligonucleotides so predicted is validated through intra-genomic analyses correlations with experimental data and inter-genome comparisons. Based on the results we have proposed a model for the bacterial .