Prof. Dr. Mario Stanke

A major interest of my group are probabilistic models for structured biological data and efficient algorithms for inference in these models. In particular we are developing, training and implementing conditional random fields for different concrete applications such as gene prediction, recombination detection and protein interface prediction. Research topics include in particlular the gene finding suites AUGUSTUS and BRAKER. For gene prediction services and more information refer to our Bioinformatics Web Server.

Publications