Frank Johannes, Ph.D.
Affiliations: | 2007 | Pennsylvania State University, State College, PA, United States |
Area:
Genetic epidemiology of complex traitsGoogle:
"Frank Johannes"Mean distance: 27878.1
Parents
Sign in to add mentor| George Vogler | grad student | 2007 | Penn State | |
| (Mapping temporally varying quantitative trait loci in time to failure experiments.) | ||||
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Publications
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| Goeldel C, Johannes F. (2023) Stochasticity in gene body methylation. Current Opinion in Plant Biology. 75: 102436 |
| Agius DR, Kapazoglou A, Avramidou E, et al. (2023) Exploring the crop epigenome: a comparison of DNA methylation profiling techniques. Frontiers in Plant Science. 14: 1181039 |
| Hüther P, Hagmann J, Nunn A, et al. (2022) MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant whole-genome bisulfite sequencing data. Quantitative Plant Biology. 3: e19 |
| Hazarika RR, Serra M, Zhang Z, et al. (2022) Molecular properties of epimutation hotspots. Nature Plants |
| Zhang Y, Jang H, Xiao R, et al. (2021) Heterochromatin is a quantitative trait associated with spontaneous epiallele formation. Nature Communications. 12: 6958 |
| Kakoulidou I, Avramidou EV, Baránek M, et al. (2021) Epigenetics for Crop Improvement in Times of Global Change. Biology. 10 |
| Yao N, Schmitz RJ, Johannes F. (2021) Epimutations define a fast-ticking molecular clock in plants. Trends in Genetics : Tig |
| Denkena J, Johannes F, Colomé-Tatché M. (2021) Region-level epimutation rates in Arabidopsis thaliana. Heredity |
| Shahryary Y, Symeonidi A, Hazarika RR, et al. (2020) AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. Genome Biology. 21: 260 |
| Shahryary Y, Hazarika RR, Johannes F. (2020) MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data. Bmc Genomics. 21: 479 |