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Bounded search for de novo identification of degenerate cis-regulatory elements
Authors:Jonathan M Carlson  Arijit Chakravarty  Radhika S Khetani  Robert H Gross
Affiliation:(1) Department of Computer Science and Engineering, University of Washington, Seattle, WA 98105, USA;(2) Department of Cancer Pharmacology, Millennium Pharmaceuticals Inc., Cambridge, MA 02138, USA;(3) Department of Biology, Dartmouth College, Hanover, NH 03755, USA
Abstract:

Background  

The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential cis-regulatory elements. However, in practice many cis-regulatory elements are highly degenerate, precluding the use of an exhaustive word-counting strategy for their identification. While numerous methods exist for inferring base distributions using a position weight matrix, recent studies suggest that the independence assumptions inherent in the model, as well as the inability to reach a global optimum, limit this approach.
Keywords:
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