| Galaxy Training: A powerful framework for teaching! S Hiltemann, H Rasche, S Gladman, HR Hotz, D Larivière, D Blankenberg, ... PLoS computational biology 19 (1), e1010752, 2023 | 25 | 2023 |
| Transcriptome-wide in vivo mapping of cleavage sites for the compact cyanobacterial ribonuclease E reveals insights into its function and substrate recognition UA Hoffmann, F Heyl, SN Rogh, T Wallner, R Backofen, WR Hess, ... Nucleic acids research 49 (22), 13075-13091, 2021 | 16 | 2021 |
| GraphProt2: A novel deep learning-based method for predicting binding sites of RNA-binding proteins M Uhl, VD Tran, F Heyl, R Backofen BioRxiv, 850024, 2019 | 15* | 2019 |
| HRIBO: high-throughput analysis of bacterial ribosome profiling data R Gelhausen, SL Svensson, K Froschauer, F Heyl, L Hadjeras, ... Bioinformatics 37 (14), 2061-2063, 2021 | 13 | 2021 |
| Nephronophthisis gene products display RNA-binding properties and are recruited to stress granules L Estrada Mallarino, C Engel, İA Ilık, D Maticzka, F Heyl, B Müller, ... Scientific Reports 10 (1), 15954, 2020 | 12 | 2020 |
| Galaxy CLIP-Explorer: a web server for CLIP-Seq data analysis F Heyl, D Maticzka, M Uhl, R Backofen Gigascience 9 (11), giaa108, 2020 | 11 | 2020 |
| The temperature-regulated DEAD-box RNA helicase CrhR interactome: Autoregulation and photosynthesis-related transcripts A Migur, F Heyl, J Fuss, A Srikumar, B Huettel, C Steglich, JSS Prakash, ... Journal of Experimental Botany 72 (21), 7564-7579, 2021 | 10 | 2021 |
| RNAProt: an efficient and feature-rich RNA binding protein binding site predictor M Uhl, VD Tran, F Heyl, R Backofen GigaScience 10 (8), giab054, 2021 | 9 | 2021 |
| The role of the 5’sensing function of ribonuclease E in cyanobacteria UA Hoffmann, E Lichtenberg, SN Rogh, R Bilger, V Reimann, F Heyl, ... BioRxiv, 2023.01. 13.523895, 2023 | 3 | 2023 |
| StoatyDive: Evaluation and classification of peak profiles for sequencing data F Heyl, R Backofen GigaScience 10 (6), giab045, 2021 | 3 | 2021 |
| TRIOT: Faster tensor manipulation in C++ 11 F Heyl, O Serang arXiv preprint arXiv:1608.00099, 2016 | 2 | 2016 |
| The role of the 5’sensing function of ribonuclease E in cyanobacteria UA Hoffmann, E Lichtenberg, SN Rogh, R Bilger, V Reimann, F Heyl, ... RNA biology 21 (1), 1-18, 2024 | | 2024 |
| Heterogenous nuclear ribonucleoprotein D-like controls endothelial cell functions S Fischer, C Lichtenthaeler, A Stepanenko, F Heyl, D Maticzka, ... Biological Chemistry 405 (4), 229-239, 2024 | | 2024 |
| Hands-on: Hands-on: CUT&RUN data analysis F Heyl Galaxy Training Network, 2024 | | 2024 |
| Hands-on: Hands-on: ATAC-Seq data analysis L Delisle, M Doyle, F Heyl Galaxy Training Network, 2023 | | 2023 |
| CLIP-Seq data analysis from pre-processing to motif detection F Heyl, D Maticzka, B Batut Galaxy Training Network, 2023 | | 2023 |
| Standardization of CLIP-seq data analysis and optimization of related peak calling to investigate RNA-protein interactions F Heyl Dissertation, Universität Freiburg, 2022, 2022 | | 2022 |
| Corrigendum to: HRIBO: high-throughput analysis of bacterial ribosome profiling data R Gelhausen, SL Svensson, K Froschauer, F Heyl, L Hadjeras, ... Bioinformatics 37 (14), 2079, 2021 | | 2021 |
