Medical Systems Biology

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Visual inspection is often a first step in identifying key features of data. The high dimensionality of biological data sets prohibits an intuitive understanding and requires advanced visualization techniques. Our group develops visualization tools to support researchers in inspecting different types of biological data, e.g. for automatic tracking of cells in live cell imaging, displaying locations of SNPs on a caryogram, linking human cytomegalovirus drug resistance mutations to phenotypes, or visualizing the stability of selected gene subsets. Our heavily used VennMaster software provides algorithms to display area-proportional Venn diagrams of set intersections.

An area-proportional Venn diagram of GO categories


Selected publications


L. Lausser, C. Müssel, M. Maucher, and H. A. Kestler. Measuring and visualizing the stability of biomarker selection techniques. Computational Statistics, 28(1):51–65, 2013.

J. Huth, M. Buchholz, J. M. Kraus, K. Molhave, C. Gradinaru, G. von Wichert, T. M. Gress, H. Neumann, and H. A. Kestler. TimeLapseAnalyzer: multi-target analysis for live-cell imaging and time-lapse microscopy. Comput Methods Programs Biomed, 104(2):227–34, 2011.

M. Chevillotte, J. von Einem, B. M. Meier, F. M. Lin, H. A. Kestler, and T. Mertens. A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes. Antiviral Res., 85:318–327, 2010.

H. A. Kestler, A. Müller, J. M. Kraus, M. Buchholz, T. M. Gress, H. Liu, D. W. Kane, B. R. Zeeberg, and J. N. Weinstein. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinformatics, 9(1):67, 2008.

A. Müller, K.-H. Holzmann, and H. A. Kestler. Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinformatics, 23(4):496–7, 2007.

H. A. Kestler, A. Müller, M. Buchholz, T. Gress, and G. Palm. A perceptually optimized scheme for vsiualizing gene expression ratios with confidence values. In E. André, L. Dybkjær, W. Minker, H. Neumann, and M. Weber, editors, Perception and Interactive Technologies (PIT 06), volume LNAI 4021, pages 73–84. Springer-Verlag, Heidelberg, 2006.

Latest News


Our paper "Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells" has been published in the Computational and Structural Biotechnology Journal.


The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.


Our paper "Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic" has been published in the International Journal of Environmental Research and Public Health.


Our paper "Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results" has been published in the Journal of Medical Internet Research.


Our paper "Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment" has been published in IEEE Access.


Our report protocol "Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol" has been published in PLoS One.


We are happy we could contribute to Beutel et al (2021) "A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response" published in MDPI Cancers.