Comparative gene expression analysis by differential clustering approach: application to the Candida albicans transcription program.

ABSTRACT: Differences in gene expression underlie many of the phenotypic variations between related organisms, yet approaches to characterize such differences on a genome-wide scale are not well developed. Here, we introduce the "differential clustering algorithm" for revealing conserved and diverged co-expression patterns. Our approach is applied at different levels of organization, ranging from pair-wise correlations within specific groups of functionally linked genes, to higher-order correlations between such groups. Using the differential clustering algorithm, we systematically compared the transcription program of the fungal pathogen Candida albicans with that of the model organism Saccharomyces cerevisiae. Many of the identified differences are related to the differential requirement for mitoc

SUBMITTER: Ihmels J 

PROVIDER: S-EPMC1239936 | biostudies-literature | 2005 Sep

REPOSITORIES: biostudies-literature