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Yang, X.; Vingron, M.: Classifying human promoters by occupancy patterns identifies recurring sequence elements, combinatorial binding, and spatial interactions. BMC Biology 16 (1), 138 (2018)

Schöne, S.; Bothe, A. M.; Einfeldt, E.; Borschiwer, M.; Benner, P. F.; Vingron, M.; Thomas-Chollier, M.; Meijsing, S. H.: Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise. PLoS Genetics 14 (11), e1007793 (2018)

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Grassi, L.; Pourfarzad, F.; Ullrich, S.; Merkel, A.; Were, F.; Carrillo-de-Santa-Pau, E.; Yi, G.; Hiemstra, I. H.; Tool, A. T. J.; Mul, E. et al.; Perner, J.; Janssen-Megens, E.; Berentsen, K.; Kerstens, H.; Habibi, E.; Gut, M.; Yaspo, M. L.; Linser, M.; Lowy, E.; Datta, A.; Clarke, L.; Flicek, P.; Vingron, M.; Roos, D.; van den Berg, T. K.; Heath, S.; Rico, D.; Frontini, M.; Kostadima, M.; Gut, I.; Valencia, A.; Ouwehand, W. H.; Stunnenberg, H. G.; Martens, J. H. A.; Kuijpers, T. W.: Dynamics of Transcription Regulation in Human Bone Marrow Myeloid Differentiation to Mature Blood Neutrophils. Cell Reports 24 (10), S. 2784 - 2794 (2018)

van Bömmel, A.; Love, M. I.; Chung, H.-R.; Vingron, M.: coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers. PLoS Computational Biology 14 (8), e1006372 (2018)

Adachi, K.; Kopp, W.; Wu, G.; Heising, S.; Greber, B.; Stehling , M.; Araúzo-Bravo, M. J.; Boerno, S. T.; Timmermann, B.; Vingron, M. et al.; Schöler, H. R.: Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency. Cell Stem Cell 23 (2), S. 266 - 275 (2018)

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Bianco, S.; Lupiáñez, D. G.; Chiariello, A. M.; Annunziatella, C.; Kraft, K.; Schöpflin, R.; Wittler, L.; Andrey, G.; Vingron, M.; Pombo, A. et al.; Mundlos, S.; Nicodemi, M.: Polymer physics predicts the effects of structural variants on chromatin architecture. Nature Genetics 50 (5), S. 662 - 667 (2018)

Thormann, V.; Rothkegel, M. C.; Schöpflin, R.; Glaser, L. V.; Djuric, P.; Li, N.; Chung, H.-R.; Schwahn, K.; Vingron, M.; Meijsing, S.: Genomic dissection of enhancers uncovers principles of combinatorial regulation and dynamic wiring of enhancer-promoter contacts. Nucleic Acids Research (London) 46 (6), S. 2868 - 2882 (2018)

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Kopp, W.; Vingron, M.: An improved compound Poisson model for the number of motif hits in DNA sequences. Bioinformatics 33 (24), S. 3929 - 3937 (2017)

Heller, D.; Krestel, R.; Ohler, U.; Vingron, M.; Marsico, A.: ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data. Nucleic Acids Research (London) 45 (19), S. 11004 - 11018 (2017)

Bhat, J.; Helmuth, J.; Chitadze, G.; Kouakanou, L.; Peters, C.; Vingron, M.; Ammerpohl, O.; Kabelitz, D.: Stochastics of Cellular Differentiation Explained by Epigenetics: The Case of T-Cell Differentiation and Functional Plasticity. Scand J Immunol 86 (4), S. 184 - 195 (2017)

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Andrey, G.; Schöpflin, R.; Jerković, I.; Heinrich, V.; Ibrahim, D.; Paliou, C.; Hochradel, M.; Timmermann, B.; Haas, S.; Vingron, M. et al.; Mundlos, S.: Characterization of hundreds of regulatory landscapes in developing limbs reveals two regimes of chromatin folding. Genome Research 27 (2), S. 223 - 233 (2017)

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Heinrich, V.; Kamphans, T.; Mundlos, S.; Robinson, P. N.; Krawitz, P. M.: A likelihood ratio based method to predict exact pedigrees for complex families from next-generation sequencing data. Bioinformatics 2016, btw550 (2016)