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Multi-species integrative biclustering

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 insigh...

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Detalles Bibliográficos
Autores principales: Waltman, Peter, Kacmarczyk, Thadeous, Bate, Ashley R, Kearns, Daniel B, Reiss, David J, Eichenberger, Patrick, Bonneau, Richard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965388/
https://www.ncbi.nlm.nih.gov/pubmed/20920250
http://dx.doi.org/10.1186/gb-2010-11-9-r96
Descripción
Sumario: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.