Integration of -omics data and networks for biomedical research with VANTED

Increasingly, research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relationships. The clarification of complicated relationships requires the consideration of different domains, such as gene expression, protein, and metabolite data. Furthermore, it is often sensible not to analyze the collected data in isolation, but to consider the context of relevant biological networks. In this paper newly developed functionalities of the VANTED system are presented. They allow users from medicine and biology to interactively structure extensive experimental data, to filter, to evaluate, and to visualize the data and the analysis results in the context of biological networks and classification hierarchies.

• Type: Journal
• Year: 2010
• Where: JIB
• Authors: Christian Klukas, Falk Schreiber
• Keywords: Biological Networks, Effect Relationships, JIB 2010, Relevant Biological Networks