Multi-species integrative biclustering.

Peter Waltman, Thadeous Kacmarczyk, Ashley R. Bate, Daniel B. Kearns, David J. Reiss, Patrick Eichenberger, Richard Bonneau

Research output: Contribution to journalArticle

Abstract

We describe an algorithm, multi-species cMonkey, for the simultaneous biclustering of heterogeneous multiple-species data collections and apply the algorithm to a group of bacteria containing Bacillus subtilis, Bacillus anthracis, and Listeria monocytogenes. The algorithm reveals evolutionary insights into the surprisingly high degree of conservation of regulatory modules across these three species and allows data and insights from well-studied organisms to complement the analysis of related but less well studied organisms.

Original languageEnglish (US)
Pages (from-to)R96
JournalGenome biology
Volume11
Issue number9
DOIs
StatePublished - 2010

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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  • Cite this

    Waltman, P., Kacmarczyk, T., Bate, A. R., Kearns, D. B., Reiss, D. J., Eichenberger, P., & Bonneau, R. (2010). Multi-species integrative biclustering. Genome biology, 11(9), R96. https://doi.org/10.1186/gb-2010-11-9-r96