Dr. Steinegger is affiliated with the Biology department, Institute of Molecular Biology and Genetics, Artificial Intelligence Institute, and the Bioinformatics Graduate School. His research group focuses on developing big data and machine learning algorithms to analyze genomic and proteomic sequence data. The group is best known for bioinformatics software to cluster (Linclust), assemble (Plass), search (MMseqs2) sequences and to predict protein structures (AlphaFold2/ColabFold), search (Foldseek), and compress (Foldcomp) them.