Gene Network Holography of the Soil Bacterium Bacillus subtilis

Microarray technology has played an important role in promoting the understanding of gene network regulations. Different supervised and unsupervised analysis methods have been devised to extract meaningful information from gene-expression data. In this chapter, we introduce the Genome Holography method (GH) for the analysis of gene-expression data and discuss some of its possible applications, such as clique finding technique and Functional Holography Minimal Spanning Tree (FHMST). We employ this new technique to analyze a database of gene expression of Bacillus subtilis exposed to sublethal levels of 37 different antibiotics. Using this method, we present a new way to visualize and investigate the relationships between genes in different gene regulatory networks, and how these relationships change over time due to an environmental stress.