About our research group


This is the website for Miguel Andrade's Computational Biology and Data Mining Research Group of the Johannes-Gutenberg University in Mainz at the Institute of Molecular Biology in Mainz, Germany. We are interested in exploring gene function using computational techniques including algorithms and databases (existing or developed by us). Generally, we have a focus on studying the mechanisms involved in human disease with the goal of facilitating the development of better therapies. The results of our work are often distributed as software or online web tools. Take a look at the group members' publications or at our projects page for more information. Contact details and individual web pages can be accessed from the Lab Members page.


14 February 2017: PESCADOR, to extract interactions from PubMed abstracts, is back and kicking at the University of Luxembourg.

10 January 2017: mBison, our tool to calculate enrichment of miRNA targets on gene sets from ChIPseq is back at JGU-Mainz.

1-2 December 2016: we hosted the 2nd Challenges in Computational Biology meeting: Gene Expression Data Analysis, organized by Jean-Fred Fontaine (JGU-Mainz), Vijay Tiwari (IMB), Andreas Kurtz (Charité, Berlin, Germany), Denis Thieffry (École normale supérieure, Paris, France) and Miguel Andrade (JGU-Mainz). challenges2


11 April 2016: ARD2, our tool to predict alpha solenoids from protein sequences, has been moved now to JGU-Mainz.


Previous news


Genomics and Computational Biology is a peer-reviewed and open-access journal directed by Dr. Fontaine. It publishes original Research, Tools (software and databases), Benchmarks and Analytical workflows. You can help the community by joining the Editorial board or by submitting your work.


Photo Gallery (2014-, Mainz)

Photo Gallery (2007-2014, MDC-Berlin)

Photo Gallery (2003-2007, OHRI-Ottawa)

Our group's address and fax number are:

Computational Biology and Data Mining Group
Institute of Molecular Biology
Ackermannweg 4, 55128 Mainz, Germany
Fax: +49-6131-39-21589

How to find us?