This is the website for Miguel Andrade's Computational Biology and Data Mining Research Group of the Johannes-Gutenberg University in Mainz (Germany), located at the Biozentrum I. 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.
We work, among other topics, on the prediction of the function of proteins with a focus on compositionally biased regions, repeats and disorder, the study of protein interaction networks, the development of methods to aid the interpretation of transcriptomics data, and the prediction of transcript regulation and function.
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:
28 January 2025: We are editing a special issue of the journal Genes on Batch effects. Accepting submissions until 20 September 2025.
11 July 2024: Eric Schumbera showed "The Language of Proteins", an interactive presentation with the SFB1551 in the Curious 2024 Future Insight Conference, Rheingoldhalle Mainz, Germany.
3 April 2024: With the arrival of visitor Lucas Ripoll from Argentina, our group's size reaches and all-time record of 19 people. Current group members are also nationals of: South Africa, Brazil, Greece, Nigeria, Pakistan, Germany and Spain.
25 May 2023: Max Sprang won the special Medicine prize of the Idea Competition Rhineland-Palatinate 2023 (Medizinsonderpreis / Ideenwettbewerb Rheinland-Pfalz 2023). Congratulations!
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
Biozentrum I
Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
Fax: +49-6131-39-21589