Publikationen von Martin Vingron

Kibar, G.: Exploring feature identification and machine learning in predicting protein-protein interactions of disordered proteins. Dissertation (2024)

Rosebrock, D.: Dissecting regional heterogeneity and modeling transcriptional cascades in brain organoids. Dissertation, vii, 129 S. (2023)

Bressin, A. S.: A Multi-Omics Analysis of Transcription Control by BRD4. Dissertation, ix, 205 S. (2023)

Ly, L.-H.: Deciphering cellular heterogeneity by single-cell transcriptome analysis. Dissertation, xiii, 131 S. (2022)

Kleinert, P.: Computational interpretation of disease-causing, structural, and non-coding human genetic variants. Dissertation, 118 S. (2022)

Gajos, M.: Analysis of the determinants of Pol II pausing. Dissertation, vi, 125 S. (2022)

Abdullaev, E.: Dynamical Aspects of the Evolution of Segmental Duplications in the Human Genome. Dissertation, xiii, 129 S. (2022)

Gralinska, E.: Association Plots visualize cluster-specific genes from high-dimensional transcriptomics data. Dissertation, vi, 108 S. (2022)

Barel, G.: Network Propagation with Node Core for Genotype-Phenotype Associations and Module Identification. Dissertation, xii, 161 S. (2021)

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

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

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

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

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

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

Kopp, W.: Statistical methods for motif hit enrichment in DNA sequences. Dissertation, 216 S. (2017)

Hübner, P.: Association Plots – A Method to Detect Tissue-Specific Regulatory Patterns? Master (2024)

Kane, M.: Mathematical Modeling of High-Risk Viral Mutations. Master (2024)

Lopez Ruiz de Vargas, S.: Adding 3D chromatin structure information to enhancer- target prediction with CENTRE. Master (2024)

Raei, W. A.: Genotyping tandem repeats: Introducing Tandem Twister, a rapid and universal tool for long-read sequencing technologies. Master (2024)