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Motif discovery in heterogeneous sequence data
A Prakash1, M Blanchette, S Sinha
1Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195-2350, USA.
Abstract:
This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome together with the orthologs of these genes from other genomes. Results are presented for regulons in yeasts, worms, and mammals.