Operate is developed by :
Emma Laing (University of Surrey)
Giles Velarde (University of Manchester)

An operon is a prokaryotic transcriptional unit thought to contain genes that are co-regulated, co-expressed and functionally related. Operon prediction is important for the development of transcriptional and metabolic models at a systems level. However, to date, the dynamics of operon regulation and expression have been lacking in operon prediction models due to poor understanding and availability of data.

The tool aids functional annotation and predictive model building through the viewing of expression patterns (both correlation and polarity) and annotation (internal control sites and function) across predicted and/or known operons in any sequenced prokaryotic organism for which expression data exists.

The difference between the customised pages (EscopE and StropE) and the general page is twofold:

  1. the customised pages will have some pre-loaded gene expression data for you to select (and so you don't have to supply your own)
  2. and they will also have operon predictions calculated from the algorithm described in the PhD thesis of Emma Laing (Operon Predcition in Streptomyces coelicolor, University of Manchester, 2007). A manuscript describing the algorithm is currently in preparation. The 'other genomes' page will use predictions retrieved from the DOOR database.

Contact for software distribution.