About our research group

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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.

News:

22 March 2018: Ever wondered about where pizza fits in the tree of life? Find out now in this paper (published in the Annals of Improbable Research) where we helped Russ Hodge to define The Evolution of Pizza.

20 November 2017: we celebrated the 3rd Challenges in Computational Biology meeting: Protein Interaction Networks and Disease, organized by Gregorio Alanis (JGU-Mainz), Jean-Fred Fontaine (JGU-Mainz), Spyros Petrakis (CERTH, Thessaloniki, Greece) and Miguel Andrade (JGU-Mainz). Stay tuned for the 4th Challenges in Computational Biology meeting.

16 August 2017: NYCE, to predict the subcellular location of proteins based on their sequence, is back now at JGU-Mainz. Isn't it NYCE?

 

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?