Gene expression profiling in response to heat and water stress in maize kernel

Abstract

New high-throughput techniques, together with advances in analytical and computational technologies are enabling systemic investigations of molecular processes of biological systems. Clustering is widely applied by biologists in genome sequencing projects and phylogenetic studies. In the microarray expression analysis, the aim of cluster is to better organize but not to alter primary data: genes are visually organized according to the statistical transformation and calculation, due to the expression pattern in maize kernel during heat and water stress. Besides grouping together genes with similar patterns of expression, genes are represented by increased intensity of red, dig. green color, according to their up- or down-regulation in stress condition, compared to control.