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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

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

  • Christian Klukas EMAIL logo and Falk Schreiber


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.

Published Online: 2016-10-18
Published in Print: 2010-6-1

© 2010 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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