Publikationen von Philipp Benner

Philipp Benner and Martin Vingron, "Quantifying the tissue-specific regulatory information within enhancer DNA sequences," NAR: genomics and bioinformatics 3 (4), lqab095 (2021).

Philipp Benner, "Computing Leapfrog Regularization Paths with Applications to Large-Scale K-mer Logistic Regression," Journal of Computational Biology 28 (6), 560-569 (2021).

Philipp Benner and Martin Vingron, "ModHMM: A Modular Supra-Bayesian Genome Segmentation Method," Journal of Computational Biology 27 (4), 442-457 (2020).

Anna Ramisch, Verena Heinrich, Laura V. Glaser, Alisa Fuchs, Xinyi Yang, Philipp Benner, Robert Schöpflin, Na Li, Sarah Kinkley, Anja Römer-Hillmann, John Longinotto, Steffen Heyne, Beate Czepukojc, Sonja M. Kessler, Alexandra K. Kiemer, Cristina Cadenas, Laura Arrigoni, Nina Gasparoni, Thomas Manke, Thomas Pap, Andrew Pospisilik, Jan Hengstler, Jörn Walter, Sebastiaan Meijsing, Ho-Ryun Chung, and Martin Vingron, "CRUP: a comprehensive framework to predict condition-specific regulatory units," Genome Biology: Biology for the Post-Genomic Era 20 (1), 227 (2019).

Tobias Zehnder, Philipp Benner, and Martin Vingron, "Predicting enhancers in mammalian genomes using supervised hidden Markov models," BMC Bioinformatics 20 (1), 157 (2019).

Stefanie Schöne, Anna Melissa Bothe, Edda Einfeldt, Marina Borschiwer, Philipp Florian Benner, Martin Vingron, Morgane Thomas-Chollier, and Sebastiaan H. Meijsing, "Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise," PLoS Genetics 14 (11), e1007793 (2018).