COMODO v2.0 uses an objective selection criterium to identify conserved expression modules between three species (in contrast to its previous version which could only handle two species). The method uses as input microarray data and a gene homology map and provides as output pairs of conserved modules (Figure 1). COMODO v2.0 searches for module combinations in the species being compared, for which the number of sharing homologs is statiscally most significant relative to the size of the linked modules. COMODO v2.0 was fully written in Matlab and made available for academic use under the GPL (General Publuc License). In order to use COMODO v2.0, no Matlab license is requiered as the package contains the necessary libraries to run COMODO v2.0 using the free Matlab Compiler Runtime (MCR).
COMODO: an adaptive coclustering strategy to identify conserved coexpression modules between organisms. Peyman Zarrineh, Ana C Fierro, Aminael Sánchez-Rodríguez, Bart De Moor, Kristof Engelen and Kathleen Marchal. Nucl. Acids Res. (2011) 39 (7): e41. doi: 10.1093/nar/gkq1275