Multi-species integrative biclustering

Genome Biol. 2010;11(9):R96. doi: 10.1186/gb-2010-11-9-r96. Epub 2010 Sep 29.

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.

Publication types

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

MeSH terms

  • Algorithms*
  • Bacillus / genetics*
  • Bacillus anthracis / genetics
  • Bacillus subtilis / genetics
  • Base Sequence
  • Cluster Analysis*
  • Computational Biology / methods
  • Data Mining*
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Bacterial
  • Gene Regulatory Networks
  • Genome, Bacterial
  • Genomics*
  • Listeria monocytogenes / genetics*
  • Models, Genetic
  • Multigene Family*
  • Pattern Recognition, Automated