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.
25 May 2023: Max Sprang won the special Medicine prize of the Idea Competition Rhineland-Palatinate 2023 (Medizinsonderpreis / Ideenwettbewerb Rheinland-Pfalz 2023). Congratulations!
1 December 2022: Our tools have been migrated to a virtual machine. Thanks to the IT group of the JGU!
28 November 2022: Web server down for migration to a virtual machine.
8 November 2022: Lisanna Paladin (EMBL-Heidelberg) and Pablo Mier guest edited a special issue "Bioinformatics in Protein Evolution" in the journal Biomolecules.
Our group's address and fax number are:
Computational Biology and Data Mining Group
Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany