Vision & Mission

Today’s biomedical sciences have the unprecedented opportunity to become more exact than ever before. Today, technological progress towards the complete characterization of the multi-layered network of components that together constitute a living system has coincided with remarkable progress in the development of techniques for the computational handling and interpretation of these data. For the first time, mathematical modeling and the computational simulation of biological systems has become feasible across the different layers of increasing complexity that characterize them.

Old problems can now be tackled in new systematic ways. Genomic data can generate new hypotheses about an individual’s propensity to develop a certain disease. Transcriptomic and proteomic data can help to define whether and how a genetic predisposition manifests in an individual patient.

Stratification of patients will enable researchers and clinicians to personalize diagnostic and therapeutic regimes to be applied.

It is geneXplain’s mission to provide the computational methodology required to achieve this goal of “personalized pharmacogenomics”. We wish to help academic researchers in their daily work with easy-to-use tools that are compatible with the low-budget requirements of most academic groups. At the same time, we shall provide high-end technology platforms to fulfil bioinformatics requirements to industrial standards. Finally, we intend to offer partnerships for research and training in the area of our expertise.

Taken together, we are confident that we can make a major contribution to the new era of personalized medicine, for the benefit of individuals and humankind alike.

The name of the company describes our overarching aim: To explain what genes do. The capital “X” of our logo was inspired by the Holliday junction, a structure that has given rise to a significant part of our genetic variability.Moreover, the logo nicely symbolizes how different scientific disciplines may come together to effect a cross-fertilization of concepts thereby yielding new insights: biology, chemistry, computer sciences and mathematics combining together to generate new theories and applications for future health research.