Zehnder, T.: Computational Approaches for the Prediction of Gene Regulatory Elements and the Analysis of their Evolutionary Conservation. Dissertation, vii, 155 S. (2021)

Han, H.: Towards accurate and efficient live cell imaging data analysis. Dissertation, xii, 119 S. (2021)

Heller, D.: Structural variant calling using third-generation sequencing data. Dissertation, xiii, 139 S. (2021)

Sbailò, L.: Efficient multi-scale sampling methods in statistical physics. Dissertation, xiv, 120 S. (2020)

Krakau, S.: Statistical models to capture protein-RNA interaction footprints from truncation-based CLIP-seq data. Dissertation, viii, 167 S S. (2020)

Liu, J.: Bioinformatic Reconstruction of Gene Regulatory Networks Controlling EMT and Mesoderm Formation. Dissertation (2019)

Moeinzadeh, M.: De novo and haplotype assembly of polyploid genomes. Dissertation, vii, 157 S. (2019)

Witte, F.: Dissecting the genetic basis of transcriptional and translational regulation in heart and liver. Dissertation, V, 108 S. (2019)

Ramisch, A.: Enhancer Prediction Based on Epigenomic Data. Dissertation, iv, 186 S. (2019)

Dadi, T. H.: Whole Genome Shotgun Sequencing Based Taxonomic Profiling Methods for Comparative Study of Microbial Communities. Dissertation, viii, 145 S. (2019)

Pockrandt, C. M.: Approximate String Matching: Improving Data Structures and Algorithms. Dissertation, 175 S. (2019)

Youett, E.: Adaptive Multilevel Monte Carlo Methods for Random Elliptic Problems. Dissertation, viii, 109 S. (2018)

Steiger, E.: Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction. Dissertation, Freie Universität, Berlin (2018)

Kuchenbecker, S.-L.; Reinert, K.: Analysis of Antigen Receptor Repertoires Captured by High Throughput Sequencing. Dissertation, vii, 164 S. (2018)

Gorgulla, C.: Free Energy Methods Involving Quantum Physics, Path Integrals, and Virtual Screenings: Development, Implementation and Application in Drug Discovery. Dissertation, xxv, 258 S. (2018)

Huska, M. R.: Using machine learning to predict and better understand DNA methylation and genomic enhancers. Dissertation, viii, 143 S., Freie Universität, Berlin (2018)

Lienhard, M.: Computational Analysis of Genome-wide Methylation Enrichment Experiments. Dissertation, xii, 125 S. (2017)

Reimers, A.-M.: Understanding metabolic regulation and cellular resource allocation through optimization. Dissertation, 248 S. (2017)

Thobe, K.: Logical modeling of uncertainty in signaling pathways of cancer systems. Dissertation, v, 153 S. (2017)

Helmuth, J.: Robust Normalization of Next Generation Sequencing Data. Dissertation, xii, 145 S. (2017)