Bioinformatics methods for the combined analysis of transcriptome, proteome, and metabolome data

Modern experimental methods enable the production of large quantities of data about molecular components of cells and their activities. The analysis and interpretation of these data require bioinformatical procedures by means of which patterns and relationships are discovered and correlated to known knowledge about metabolic and regulatory networks. The availability of information about the totality of genetic materials (genome), transcribed genes (transcriptome), translated proteins (proteome) and participating metabolites (metabolome) promises new chances of understanding the reaction of organisms to environmental changes on one hand but this also means new requirements to data processing on the other hand.