Customizable Visualization of Multi-omics Data in the Context of Biochemical Networks

This contribution presents a novel approach of visualization in the context of biochemical networks. In this field of application, simulation and experimental studies continuously produce a wide variety of data with a direct relation to nodes and edges of the networks. This leads to an urgent requirement of a data visualization method which is flexible and adaptable to many applications. The visualization software tool presented here allows creating network diagrams with a programmable style of network components. This was realized by defining the scripting language OVL in order to give a fast and intuitive access to visual properties of nodes and edges. Additionally, networks can be displayed in different abstraction levels. So, data visualization becomes highly customizable to individual requirements and preferences.