Motif discovery in heterogeneous sequence data

Pac Symp Biocomput. 2004:348-59. doi: 10.1142/9789812704856_0033.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Algorithms*
  • Animals
  • Binding Sites / genetics
  • Caenorhabditis elegans / genetics
  • Computational Biology*
  • Genes, Helminth
  • Genes, Regulator
  • Genomics / statistics & numerical data
  • Models, Genetic
  • Sequence Analysis, DNA / statistics & numerical data*