We provide a comprehensive platform for bioinformatic, cheminformatic and systems biological tools

About us

GeneXplain is a new company, with the mission to provide a comprehensive platform for bioinformatic, cheminformatic and systems biological tools. The raison d’ĂȘtre of this platform is to assist translational research in the life sciences, mainly in the context of personalized medicine and pharmacogenomics. We intend to make our expertise available to academic and commercial partners in collaborative research projects.

Further details about the geneXplain platform can be obtained here.

You may also be interested in further information about our systems biological contributions, or about geneXplain’s recent cheminformatics activities.

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.

Scientific advisors

David Cooper

Prof. David N. Cooper is Professor of Human Molecular Genetics at Cardiff University’s School of Medicine, UK. Professor Cooper is the originator of the Human Gene Mutation Database (http://www.hgmd.org), a very successful resource both scientifically and commercially, which is used worldwide not only for research purposes but also for counselling in human genetics.

Andreas Dress

Prof. em. Dr. Andreas Dress was Professor of Mathematics at the University of Bielefeld, and between 2005 and 2010 served as Director of the Partner Institute for Computational Biology (PICB) of the Max Planck Society and the Chinese Academy of Sciences in Shanghai. More about his scientific career and interest can be found here.

Andrey Rzhetsky

Professor Andrey Rzhetsky, PhD, is Professor at the Department of Medicine and the Department of Human Genetics of the University of Chicago. Besides his broad range of interests in bioinformatics, phylogenetics, sequence and molecular network analysis, his has created one of the most efficient text-mining approaches, the GeneWays system, to retrieve information about biomolecular interactions from the vast amount of scientific literature. More about his scientific profile can be found here.

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