Thesis/Theses examined by Söding, Johannes

Vorberg, Susann (2017): Bayesian statistical approach for protein residue-residue contact prediction. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Kiesel, Anja Sophie (2017): Understanding protein-DNA binding events. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Heron, Mark Eric Leslie (2017): Analysing and quantitatively modelling nucleosome binding preferences. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Meier, Markus (2016): Decomposing protein sequence space into domains. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Seemayer, Stefan (2016): Evolutionary coupling methods in de novo protein structure prediction. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Wolowski, Vincent Roman (2016): High-quality, high-throughput measurement of protein-DNA binding using HiTS-FLIP. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Siebert, Matthias (2016): Quantitative modeling and statistical analysis of protein-DNA binding sites. Dissertation, LMU München: Faculty of Medicine

Torkler, Phillipp (2015): STAMMP: a statistical model and processing pipeline for PAR-CLIP data reveals transcriptome maps of mRNP biogenesis factors. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Hauser, Maria (2014): MMseqs: ultra fast and sensitive clustering and search of large protein sequence databases. Dissertation, LMU München: Faculty of Chemistry and Pharmacy

Meier, Armin (2014): Probabilistic protein homology modeling. Dissertation, LMU München: Faculty of Chemistry and Pharmacy