Integration of -omics data and networks for biomedical researchwith VANTED

Abstract

Increasingly, research focus in the fields of biology and medicine moves from the investi-gation of single phenomena to the analysis of complex cause and effect relationships. Theclarification of complicated relationships requires the consideration of different domains,such as gene expression, protein, and metabolite data. Furthermore, it is often sensible notto analyze the collected data in isolation, but to consider the context of relevant biologicalnetworks. In this paper newly developed functionalities of the VANTED system are pre-sented. They allow users from medicine and biology to interactively structure extensiveexperimental data, to filter, to evaluate, and to visualize the data and the analysis results inthe context of biological networks and classification hierarchies.