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Phan, M. H. Q.; Zehnder, T.; Puntieri, F.; Magg, A.; Majchrzycka, B.; Antonović, M.; Wieler, H. M.; Lo, B.-W.; Baranasic, D.; Lenhard, B. et al.; Müller, F.; Vingron, M.; Ibrahim, D. M.: Conservation of regulatory elements with highly diverged sequences across large evolutionary distances. Nature Genetics 57, pp. 1524 - 1534 (2025)

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Bebelman, M. P.; Belicova, L.; Gralinska, E.; Jumel , T.; Lahree, A.; Sommer, S.; Shevchenko, A.; Zatsepin, T.; Kalaidzidis, Y.; Vingron, M. et al.; Zerial, M.: Hepatocyte differentiation requires anisotropic expansion of bile canaliculi. Development 151 (22), Article dev202777 (2024)

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Henglin, M.; Ghareghani, M.; Harvey, W. T.; Porubsky, D.; Koren, S.; Eichler, E. E.; Ebert, P.; Marschall, T.: Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing. Genome Biology: Biology for the Post-Genomic Era 25 (1), Article 265 (2024)

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Altay, A.; Vingron, M.: scATAcat: cell-type annotation for scATAC-seq data. NAR: genomics and bioinformatics 6 (4), Article lqae135 (2024)

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Stötzel, M.; Cheng, C.-Y.; Ilik, I. A.; Sampath Kumar, A.; Akbari-Omgba, P.; van der Weijden, V. A.; Zhang, Y.; Vingron, M.; Meissner, A.; Aktas, T. et al.; Kretzmer, H.; Bulut-Karslioglu, A.: TET activity safeguards pluripotency throughout embryonic dormancy. Nature Structural & Molecular Biology 31 (10), pp. 1625 - 1639 (2024)

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Naderi, J.; Magalhães, A. P.; Kibar, G.; Stik, G.; Zhang, Y.; Mackowiak, S.; Wieler, H. M.; Rossi, F.; Buschow, R.; Christou-Kent, M. et al.; Alcoverro-Bertran, M.; Graf, T.; Vingron, M.; Hnisz, D.: An activity-specificity trade-off encoded in human transcription factors. Nature Cell Biology 26 (8), pp. 1309 - 1321 (2024)

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Zhao, Y.; Kohl, C.; Rosebrock, D.; Hu, Q.; Hu, Y.; Vingron, M.: CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics. Nucleic Acids Research 52 (13), Article e57 (2024)

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Rosebrock, D.; Vingron, M.; Arndt, P. F.: Modeling gene expression cascades during cell state transitions. iScience 27 (4), Article 109386 (2024)

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Yan, M.; Li, M.; Wang, Y.; Wang, X.; Moeinzadeh, H.-M.; Quispe-Huamanquispe, D. G.; Fan, W.; Fang, Y.; Wang, Y.; Nie, H. et al.; Wang, Z.; Tanaka, A.; Heider, B.; Kreuze, J. F.; Gheysen, G.; Wang, H.; Vingron, M.; Bock, R.; Yang, J.: Haplotype-based phylogenetic analysis and population genomics uncover the origin and domestication of sweetpotato. Molecular Plant 17 (2), pp. 277 - 296 (2024)

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van der Weijden, V. A.; Stötzel, M.; Iyer, D. P.; Fauler, B.; Gralinska, E.; Shahraz, M.; Meierhofer, D.; Vingron, M.; Rulands, S.; Alexandrov, T. et al.; Mielke, T.; Bulut-Karslioglu, A.: FOXO1-mediated lipid metabolism maintains mammalian embryos in dormancy. Nature Cell Biology 26 (2), pp. 181 - 193 (2024)

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Rapakoulia, T.; Lopez Ruiz de Vargas, S.; Akbari-Omgba, P.; Laupert, V.; Ulitsky, I.; Vingron, M.: CENTRE: a gradient boosting algorithm for Cell-type-specific ENhancer-Target pREdiction. Bioinformatics 39 (11), btad687 (2023)

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Jatzlau, J.; Mendez, P.-L.; Altay, A.; Raaz, L.; Zhang, Y.; Mähr, S.; Sesver, A.; Reichenbach, M.; Mundlos, S.; Vingron, M. et al.; Knaus, P.: Fluid shear stress-modulated chromatin accessibility reveals the mechano-dependency of endothelial SMAD1/5-mediated gene transcription. iScience 26 (9), 107405 (2023)

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Gralinska, E.; Vingron, M.: Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots. Journal of the Royal Statistical Society - Series C: Applied Statistics 72 (4), pp. 1023 - 1040 (2023)

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Lienhard, M.; van den Beucken , T.; Timmermann, B.; Hochradel, M.; Boerno, S.; Caiment , F.; Vingron, M.; Herwig, R.: IsoTools: a flexible workflow for long-read transcriptome sequencing analysis. Bioinformatics 39 (6), btad364 (2023)

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Mehringer, S.; Seiler, E.; Droop, F.; Darvish, M.; Rahn, R.; Vingron, M.; Reinert, K.: Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries. Genome Biology: Biology for the Post-Genomic Era 24 (1), 131 (2023)

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De Maio, N.; Kalaghatgi, P.; Turakhia, Y.; Corbett-Detig, R.; Quang Minh, B.; Goldman, N.: Maximum likelihood pandemic-scale phylogenetics. Nature Genetics 55 (5), pp. 746 - 752 (2023)

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Melo, U. S.; Jatzlau, J.; Prada-Medina, C. A.; Flex, E.; Hartmann, S.; Ali, S.; Schöpflin, R.; Bernardini, L.; Ciolfi, A.; Moeinzadeh, H. et al.; Klever, M.-K.; Altay, A.; Vallecillo-García, P.; Carpentieri, G.; Delledonne, M.; Ort, M.-J.; Schwestka, M.; Battista Ferrero, G.; Tartaglia, M.; Brusco, A.; Gossen, M.; Strunk, D.; Geißler, S.; Mundlos, S.; Stricker, S.; Knaus, P.; Giorgio, E.; Spielmann, M.: Enhancer hijacking at the ARHGAP36 locus is associated with connective tissue to bone transformation. Nature Communications 14 (1), 2034 (2023)

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Kibar, G.; Vingron, M.: Prediction of protein–protein interactions using sequences ofintrinsically disordered regions. Proteins: Structure, Function, and Bioinformatics 91 (7), pp. 980 - 990 (2023)

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Raschka , T.; Sood , M.; Schultz, B.; Altay, A.; Ebeling, C.; Fröhlich, H.: AI reveals insights into link between CD33 and cognitive impairment in Alzheimer’s Disease. PLOS Computational Biology 19 (2), e1009894 (2023)

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Schindler, M.; Osterwalder, M.; Harabula, I.; Wittler, L.; Tzika, A. C.; Dechmann, D. K. N.; Vingron, M.; Visel, A.; Haas, S.; Real, F. M.: Induction of kidney-related gene programs through co-option of SALL1 in mole ovotestes. Development 150 (17), dev201562 (2023)

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