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Peter Stadler

Prof. Peter F. Stadler
Orcid Profile

Peter F. Stadler is a professor of Bioinformatics (C4) at the Institute of Computer Science in Leipzig, an External Scientific Member of the Max Planck Society affiliated with the MPI for Mathematics in the Sciences, and an External Professor at the Santa Fe Institute for Complex Systems. The overarching theme of his research is the search for a consistent understanding of biological processes (with an emphasis on (molecular) evolution) at the genotypic, phenotypic, and dynamical level. The techniques range from the analysis of the dynamical systems arising in chemical kinetics and population genetics to large-scale simulations of RNA evolution and the analysis of viral sequence data to knowledge-based protein potentials, and to algebraic combinatorics applied to the study of fitness landscapes.

During his career, Peter successfully supervised more than 50 Ph.D. students of which 7 have a professor position to date.

Publications

• Ronny Lorenz, Christoph Flamm, Ivo L. Hofacker, and Peter F. Stadler. Efficient algorithms for cofolding of multiple RNAs. In Xuesong Ye, Filipe Soares, Elisabetta De Maria, Pedro Gomez Vilda, Federico Cabitza, Ana Fred, and Hugo Gamboa, editors, Biomedical Engineering Systems and Technologies. BIOSTEC 2020, volume 1400 of Comm. Comp. Inf. Sci., pages 10.1007/978–3–030–72379–8 10, Cham. Springer

• Thomas Gatter and Peter F. Stadler. Ryuto: Improved multi-sample transcript assembly for differentialtranscript expression analysis. Bioinformatics, 37:4307–4313, 2021.

• David Schaller, Marc Hellmuth, and Peter F. Stadler. A simpler linear-time algorithm for the common refinement of rooted phylogenetic trees on a common leaf set. Alg. Mol. Biol., 16:23, 2021.

• Wilmer Leal, Guillermo Restrepo, Peter F. Stadler, and Jürgen Jost. Forman-Ricci curvature for hypergraphs. Adv. Complex Syst., 24:2150003, 2021

• Thomas Gatter, Sarah von Loehneysen, Jörg Fallmann, Polina Drozdova, Tom Hartmann, and Peter F. Stadler. LazyB: Fast and cheap genome assembly. Alg. Mol. Biol., 16:8, 2021.