Motif discovery in heterogeneous sequence data.

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

Research output: Contribution to journalArticlepeer-review

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.

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

  • Medicine(all)

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