Author

Frank Hartung

Julius Kühn-InstitutORCID 0000-0002-2356-6707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Jens KeilwageniD· 2 shared Assane Mbodj· 1 shared Christel LlauroiD· 1 shared Fang Shiang LimiD· 1 shared Jan GrauiD· 1 shared Johannes StuttmanniD· 1 shared Marie MirouzeiD· 1 shared Michael PauliniiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersPlant Biology

Jens KeilwagenORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintSep 29, 2026

Analysis of SpCas9 on- and off-target effects in high efficiency multiplex editing in Arabidopsis

Johannes Stuttmann, Jens Keilwagen, Philippe Ortet…·Ralf Wilhelm

The paper analyzes SpCas9 on- and off-target effects in Arabidopsis using high-efficiency multiplex editing and finds high specificity but potential for extensive on-target modifications at complex loci.

DOI 10.64898/2026.09.28.754964

Arabidopsiswhole-genome sequencing

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BioinformaticsBMC BioinformaticsPeer-reviewedMay 29, 2018

Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi

Jens Keilwagen, Frank Hartung, Michael Paulini…·Jan Grau

The paper extends the GeMoMa gene prediction tool to use RNA-seq data and conservation signals, showing improved performance over existing tools in plants, animals, and fungi.

335 citationstop 3%

plant (other)human

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