Publikationen

Siebert, M.; Söding, J.: Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences. Nucleic Acids Research 44 (13), S. 6055 - 6069 (2016)

Alva, V.; Nam, S. Z.; Söding, J.; Lupas, A. N.: The MPI bioinformatics Toolkit as an integrative platform for advanced protein sequence and structure analysis. Nucleic Acids Research 44 (W1), S. W410 - W415 (2016)

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)

Stützer, A.; Liokatis, S.; Kiesel, A.; Schwarzer, D.; Sprangers, R.; Söding, J.; Selenko, P.; Fischle, W.: Modulations of DNA contacts by linker histones and post-translational modifications determine the mobility and modifiability of nucleosomal H3 tails. Molecular Cell 61 (2), S. 247 - 259 (2016)