Author

Maik Reschke

Leibniz University Hannover

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

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 Stefanie MückeiD· 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

Epigenetic features improve TALE target prediction

Annett Erkes, Stefanie Mücke, Maik Reschke, Jens Boch, Jan Grau

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

BMC Genomics · Dec 1, 2021Peer-reviewedBioinformatics

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

Annett Erkes, Stefanie Mücke, Maik Reschke, Jens Boch, 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.

PLoS Computational Biology · Jul 11, 2019Peer-reviewedBioinformatics