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The research focus of our institute is on regulatory networks of cells and organisms. By applying a range of bioinformatics methods, we hope to contribute to unravel the underlying principles and, at the same time, to develop a couple of tools which may prove useful to the systems biology community. Like our research, our teaching in bioinformatics is very much biology-driven. In this sense, we try to convey the importance and the principles of bioinformatics to students in medicine, biology and computer sciences.


December 07,2015


The basic idea: we consider the genome as a document, genes as sentences, individual sequence elements as words, and apply mathematical concepts proven in linguistics.

PC-TraFF stands for "Potentially Collaborating Transcription Factor Finder". It is an information-theoretic method to identify, in a given set of genes, pairs of transcription factor binding sites. The corresponding transcription factors can be reasonably hypothesized to functionally interact in the regulation of these genes. When applied to breast cancer-associated genes, PC-TraFF found interacting TF pairs, some of them already known, others giving rise to interesting hypotheses for further validation.

July 02, 2015

A further refined version of Anirban Bhar's triclustering approach, EMOA-delta-TRIMAX, has been published. We acknowledge support by Erasmus Mundus and the ExITox project, funded by BMBF.

May 21, 2015

Anirban Bhar's triclustering approach provided the basis for illustrating the toxic  effect of naphthalene on lung and liver tissue. The work was part of our contribution to the ExITox project.

March 24, 2015

Our team member Anirban Bhar successfully passed his PhD defense. See here for his novel triclustering approach.

Congratulations, Anirban!

February 25, 2015

"Basic concepts of bioinformatics":
Lecture by E. Wingender at the Grodno State Medical University, Belarus

February 16, 2015

Project coordination meeting on Cardiovascular Bioinformatics with Dr. Shizuka Uchida and his team from Goethe University Frankfurt a.M.

January 28, 2015

New classification of human and rodent transcription factors published!

Featured paper

Compared with the different kinds of intracellular (metabolic, signaling, or gene regulatory) networks, intercellular networks are much less investigated at a systems level. On the other hand, the relevance of such cell-cell networks in particular for biomedicla research projects is quite obvious. – To facilitate corresponding investigations, we have set up a specialized information resource: EndoNet. The name was triggered by the fact that in the beginning, we were very much focussing on human hormonal (endocrine) communication pathways. – In this paper, which appeared in BMC Systems Biology 8:49 (2014), we have reported on the latest state of this resource, its contents as well as new functionalities.

EndoNet itself can be found here.

December 10, 2015



Prof. Dr. Edgar Wingender

Institute of Bioinformatics

Phone : +49 - (0)551 - 39 14912

Goldschmidtstr. 1


37077 Göttingen