Motif discovery in heterogeneous sequence data.

A. Prakash, M. Blanchette, S. Sinha, M. Tompa

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)348-359
Number of pages12
JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
StatePublished - 2004
Externally publishedYes

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics


Dive into the research topics of 'Motif discovery in heterogeneous sequence data.'. Together they form a unique fingerprint.

Cite this