Author

F. Johannes

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

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 2 Plant Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 3 Approach:statistical model· 3 Organism:Arabidopsis· 2 Research Focus:chromatin & epigenetic regulation· 2 Organism:plant (other)· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

A. Nunn· 1 shared A. Tellier· 1 shared C. Becker· 1 shared C. Yu· 1 shared D. Langenberger· 1 shared D. Weigel· 1 shared H. Jang· 1 shared I. Kakoulidou· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPlant Biology

A. Nunn

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Improved inference of population histories by integrating genomic and epigenomic data

T. P. P. Sellinger, F. Johannes, A. Tellier

This paper improves population history inference by integrating genomic and epigenomic data using an extended SMC framework, revealing new insights into demographic events in A. thaliana.

bioRxiv · Apr 2, 2023Evolutionary Biology

An evolutionary epigenetic clock in plants

N. Yao, Z. Zhang, L. Yu, R. Hazarika, C. Yu, H. Jang, L. M. Smith, J. Ton, L. Liu, J. Stachowicz, T. B. H. Reusch, R. J. Schmitz, F. Johannes

This paper introduces an epigenetic clock based on stochastic DNA methylation changes in plants, enabling high-resolution temporal analysis of phylogenetic relationships.

bioRxiv · Mar 15, 2023Evolutionary Biology

MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant WGBS data

P. Hüther, J. Hagmann, A. Nunn, I. Kakoulidou, R. Pisupati, D. Langenberger, D. Weigel, F. Johannes, S. J. Schultheiss, C. Becker

MethylScore identifies differentially methylated regions in plant WGBS data using an unsupervised machine learning approach, improving statistical power and reducing false positives.

bioRxiv · Jan 6, 2022 · PreprintPlant Biology

Region-level Epimutation Rates in Arabidopsis thaliana

J. Denkena, F. Johannes, M. Colome-Tatche

The paper shows region-level epimutations in Arabidopsis thaliana occur at similar rates to single CG methylation changes and are not limited to CG contexts.

bioRxiv · Aug 18, 2020Plant Biology