Motif discovery in heterogeneous sequence data.
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.
Prakash
A
A
Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195-2350, USA.
Blanchette
M
M
Sinha
S
S
Tompa
M
M
D000465:Algorithms; D000818:Animals; D001665:Binding Sites / Q000235:genetics; D017173:Caenorhabditis elegans / Q000235:genetics; D019295:Computational Biology; D017238:Genes, Helminth; D005809:Genes, Regulator; D023281:Genomics / Q000706:statistics & numerical data; D008957:Models, Genetic; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*