Integration of -omics data and networks for biomedical research with VANTED.
More and more often research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relations. The clarification of complicated relations requires the consideration of different domains, for instance, gene expression, protein, and metabolite data. Furthermore, it is often sensible not to analyze measured 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 experiment data, to filter, to evaluate, and to visualize the data and the analysis results in context of biological networks and classification hierarchies.
Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany. klukas@ipk-gatersleben.de
Christian
C
Klukas
Falk
F
Schreiber
D035843:Biomedical Research; D019295:Computational Biology; D023281:Genomics / Q000379:methods*; D025941:Protein Interaction Mapping; D040901:Proteomics / Q000379:methods*; D012984:Software