| Transcriptional Reprogramming of Rice Cells by Xanthomonas oryzae TALEs S Mücke, M Reschke, A Erkes, CA Schwietzer, S Becker, J Streubel, ... Frontiers in plant science 10, 162, 2019 | 43 | 2019 |
| PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting A Erkes, S Mücke, M Reschke, J Boch, J Grau PLoS computational biology 15 (7), e1007206, 2019 | 16 | 2019 |
| MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction TN Dong, S Mücke, M Khosla IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 10 | 2022 |
| A message passing framework with multiple data integration for miRNA-disease association prediction TN Dong, J Schrader, S Mücke, M Khosla Scientific Reports 12 (1), 16259, 2022 | 5 | 2022 |
| Flexible TALEs for an expanded use in gene activation, virulence and scaffold engineering S Becker, S Mücke, J Grau, J Boch Nucleic Acids Research 50 (4), 2387-2400, 2022 | 1 | 2022 |
| Validation of the predictive value of BDNF-87 methylation for antidepressant treatment success in severely depressed patients—a randomized rater-blinded trial HB Maier, A Neyazi, GL Bundies, F Meyer-Bockenkamp, S Bleich, ... Trials 25 (1), 1-12, 2024 | | 2024 |
| Epigenetic features improve TALE target prediction A Erkes, S Mücke, M Reschke, J Boch, J Grau BMC genomics 22, 1-18, 2021 | | 2021 |
| Identification of susceptibility targets of bacterial leaf blight and development of genome edited rice lines with increased resistance S Mücke Gottfried Wilhelm Leibniz Universität Hannover, 2020 | | 2020 |
| TALEs—10 Jahre nach Entschlüsselung des Codes S Mücke, J Boch BIOspektrum 25, 375-377, 2019 | | 2019 |
Jens BochProfessor für Pflanzenbiotechnologie, Leibniz Universität Hannover, GermanyVerified email at genetik.uni-hannover.de
