Author

Stefanie Mücke

Leibniz University HannoverORCID 0000-0001-9890-4523Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Annett ErkesiD· 2 shared Jan GrauiD· 2 shared Jens BochiD· 2 shared Maik Reschke· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Annett ErkesORCID

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2 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedDec 1, 2021

Epigenetic features improve TALE target prediction

Annett Erkes, Stefanie Mücke, Maik Reschke…·Jan Grau

The paper improves TALE target prediction by integrating epigenetic features, showing that combining chromatin accessibility and DNA methylation data enhances prediction accuracy.

6 citations

plant (other)ATAC-seq

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 11, 2019

PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting

Annett Erkes, Stefanie Mücke, Maik Reschke…·Jan Grau

PrediTALE improves TALE target prediction by incorporating biological insights and quantitative data, identifying novel virulence targets and highlighting limitations in current gene annotations.

24 citations

plant (other)bulk RNA-seq

𝕏 PostBluesky