Plant abiotic stress responses are a major yield-limiting factor in agriculture and thereby in the
production of food, feed and fibre. Recent technology developments allow studies of such stress responses at a
global molecular scale using omics data (metabolome, proteome, transcriptome and more). Significant progress has
been made in statistical, mathematical and informatics driven analysis of omics data. Genes, proteins and
metabolites can now be classified, categorized and linked at a genomic scale, and network-based analysis of
various biological processes is becoming reality. However, in order to gain a complete overview of all processes
and active networks in each cell type of the plant at all developmental stages and under all types of environmental
variation, data production needs to become feasible at a significantly more massive scale. Systems biology studies
the organization of system components and their networks, with the idea that unique properties of a system can
only be observed through study of the system as a whole. A system-based analysis can involve multiple scales,
ranging from single cells, tissues, organs to whole organisms. One of the foundations of systems biology is the
analysis of networks of interacting and interdependent components that produce the system's unique properties.
Network analysis provides intuitive ways for omics data visualization, as it reduces the intrinsic complexity of such
data. In this chapter we discuss systems biology as a promising tool to study plant stress responses. We list various
network and visualization tools available to biologists, to help them analyse high throughput omics data sets.