MycoperonDB: a database of computationally identified operons and transcriptional units in Mycobacteria

Background: A key post genomics challenge is to identify how genes in an organism come together and perform physiological functions. An important first step in this direction is to identify transcriptional units, operons and regulons in a genome. Here we implement and report a strategy to computationally identify transcriptional units and operons of mycobacteria and construct a database-MycoperonDB. Description: We have predicted transcriptional units and operons in mycobacteria and organized these predictions in the form of relational database called MycoperonDB. MycoperonDB database at present consists of 18053 genes organized as 8256 predicted operons and transcriptional units from five closely related species of mycobacteria. The database further provides literature links for experimentally characterized operons. All known promoters and related information is collected, analysed and stored. It provides a user friendly interface to allow a web based navigation of transcription unit...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Sarita Ranjan, Ranjit Kumar Gundu, Akash Ranjan
• Keywords: BMCBI 2006, Mycobacteria, Operons, Transcriptional Units