Publikationen von M. Steinegger

Gabler, F.; Nam, S.-Z.; Till, S.; Mirdita, M.; Steinegger, M.; Söding, J.; Lupas, A. N.; Alva, V.: Protein sequence analysis using the MPI Bioinformatics Toolkit. Current Protocols in Bioinformatics 72 (1), e108 (2020)

Steinegger, M.; Meier, M.; Mirdita, M.; Vöhringer, H.; Haunsberger, S. J.; Söding, J.: HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinformatics 20 (1), 473 (2019)

Mirdita, M.; Steinegger, M.; Söding, J.: MMseqs2 desktop and local web server app for fast, interactive sequence searches. Bioinformatics 35 (16), S. 2856 - 2858 (2019)

Steinegger, M.; Mirdita, M.; Söding, J.: Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold. Nature Methods 16, S. 603 - 606 (2019)

Steinegger, M.; Söding, J.: Clustering huge protein sequence sets in linear time. Nature Communications 9, 2542 (2018)

Steinegger, M.; Söding, J.: MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nature Biotechnology 35 (11), S. 1026 - 1028 (2017)

Mirdita, M.; von den Driesch, L.; Galiez, C.; Martin, M. J.; Söding, J.; Steinegger, M.: Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Research 45 (D1), S. D170 - D176 (2017)

Hauser, M.; Steinegger, M.; Söding, J.: MMseqs software suite for fast and deep clustering and searching of large protein sequence sets. Bioinformatics 32 (9), S. 1323 - 1330 (2016)

Mahlich, Y.; Steinegger, M.; Rost, B.; Bromberg, Y.: HFSP: High speed homology-driven function annotation of proteins. Bioinformatics 34 (13), S. 304 - 312 (2018)