Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software.

Authors:
Johannes Eichner
Johannes Eichner
University of Tuebingen
Germany
Lars Rosenbaum
Lars Rosenbaum
University of Tübingen
Germany
Clemens Wrzodek
Clemens Wrzodek
University of Tuebingen
Germany
Andreas Zell
Andreas Zell
University of Tübingen
Germany
Rainer Lehmann
Rainer Lehmann
Germany; German Center for Diabetes Research (DZD)
Germany

J Chromatogr B Analyt Technol Biomed Life Sci 2014 Sep 25;966:77-82. Epub 2014 Apr 25.

Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany; Division of Clinical Chemistry and Pathobiochemistry, Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Germany. Electronic address:

In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information on a biological process than the analysis of a single type of data. Thus, data from different omics platforms is usually combined in one experimental setup to obtain insight into a biological process or a disease state. Particularly high accuracy metabolomics data from modern mass spectrometry instruments is currently more and more integrated into biological studies. Reflecting this trend, we extended InCroMAP, a data integration, analysis and visualization tool for genomics, transcriptomics, and proteomics data. Now, the tool is able to perform an integrated enrichment analysis and pathway-based visualization of multi-omics data and thus, it is suitable for the evaluation of comprehensive systems biology studies.

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September 2014
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