Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data.

ABSTRACT: The dissection of complex biological systems is a challenging task, made difficult by the size of the underlying molecular network and the heterogeneous nature of the control mechanisms involved. Novel high-throughput techniques are generating massive data sets on various aspects of such systems. Here, we perform analysis of a highly diverse collection of genomewide data sets, including gene expression, protein interactions, growth phenotype data, and transcription factor binding, to reveal the modular organization of the yeast system. By integrating experimental data of heterogeneous sources and types, we are able to perform analysis on a much broader scope than previous studies. At the core of our methodology is the ability to identify modules, namely, groups of genes with statistically

SUBMITTER: Tanay A 

PROVIDER: S-EPMC365731 | biostudies-literature | 2004 Mar

REPOSITORIES: biostudies-literature