Welcome to our Homepage

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.


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!

November 21, 2014

"Promises and pitfalls of ChIPseq data: the Fos case":
Lecture of E. Wingender at the Systems Biology Workshop of the EU project SYSCOL.

October 28, 2014

"Cell-specific features of enhancers, promoters, and gene regulatory networks":
Lecture of E. Wingender at RIKEN, Yokohama.


Featured paper

This review on the "TRANSFAC Project", which appeared in Brief. Bioinformatics 9, 326-332 (2008), describes the development of the most popular tool we came up with, the TRANSFAC® database. The paper gives an overview of 20 years of conceptualization, data retrieval, and a number of extensions. This together with the previous publications on the subject gained more than 5,700 citations in Web of Science, and more than 15,500 citations in Google Scholar. In a nutshell, TRANSFAC is a database about transcription factors (TFs), their genomic binding sites and sequences, and a library of positional weight matrices suitable to identify potential TF binding sites in DNA sequences. A short description can also be found here.

March 25, 2015



Prof. Dr. Edgar Wingender

Institute of Bioinformatics

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

Goldschmidtstr. 1


37077 Göttingen