Search results

Levy Karin, E.; Mirdita, M.; Söding, J.: MetaEuk—sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics. Microbiome 8, 48 (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), pp. 2856 - 2858 (2019)

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

Keasar, C.; McGuffin, L. J.; Wallner, B.; Chopra, G.; Adhikari, B.; Bhattacharya, D.; Blake, L.; Bortot, L. O.; Cao, R.; Dhanasekaran, B. K. et al.; Dimas, I.; Faccioli, R. A.; Faraggi, E.; Ganzynkowicz, R.; Ghosh, S.; Ghosh, S.; Giełdoń, A.; Golon, L.; He, Y.; Heo, L.; Hou, J.; Khan, M.; Khatib, F.; Khoury, G. A.; Kieslich, C.; Kim, D. E.; Krupa, P.; Lee, G. R.; Li, H.; Li, J.; Lipska, A.; Liwo, A.; Maghrabi, A. H. A.; Mirdita, M.; Mirzaei, S.; Mozolewska, M. A.; Onel, M.; Ovchinnikov, S.; Shah, A.; Shah, U.; Sidi, T.; Sieradzan, A. K.; Ślusarz, M.; Ślusarz, R.; Smadbeck, J.; Tamamis, P.; Trieber, N.; Wirecki, T.; Yin, Y.; Zhang, Y.; Bacardit, J.; Baranowski, M.; Chapman, N.; Cooper, S.; Defelicibus, A.; Flatten, J.; Koepnick, B.; Popović, Z.; Zaborowski, B.; Baker, D.; Cheng, J.; Czaplewski, C.; Delbem, A. C. B.; Floudas, C.; Kloczkowski, A.; Ołdziej, S.; Levitt, M.; Scheraga, H.; Seok, C.; Söding, J.; Vishveshwara, S.; Xu, D.; Crivelli, S. N.: An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Scientific Reports 8, 9938 (2018)

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), pp. D170 - D176 (2017)

Mirdita, M.: Uniclust databases of clustered and deeply annotated protein sequences and aligments. Master, Computer Science, Technische Universität, München (2016)