Publisher Correction: Machine learning prediction of prime editing efficiency across diverse chromatin contexts.

Autor: Mathis N; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Allam A; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Tálas A; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Kissling L; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Benvenuto E; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Schmidheini L; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.; Institute of Molecular Health Sciences, ETH Zurich, Zurich, Switzerland., Schep R; Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.; Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, the Netherlands., Damodharan T; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Balázs Z; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Janjuha S; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Ioannidi EI; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Böck D; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., van Steensel B; Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.; Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, the Netherlands., Krauthammer M; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Schwank G; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland. schwank@pharma.uzh.ch.
Jazyk: angličtina
Zdroj: Nature biotechnology [Nat Biotechnol] 2024 Aug 12. Date of Electronic Publication: 2024 Aug 12.
DOI: 10.1038/s41587-024-02383-0
Databáze: MEDLINE