| Machine learning of reverse transcription signatures of variegated polymerases allows mapping and discrimination of methylated purines in limited transcriptomes S Werner, L Schmidt, V Marchand, T Kemmer, C Falschlunger, ... Nucleic Acids Research 48 (7), 3734-3746, 2020 | 43 | 2020 |
| NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deamination S Werner, A Galliot, F Pichot, T Kemmer, V Marchand, MV Sednev, ... Nucleic Acids Research 49 (4), e23-e23, 2021 | 29 | 2021 |
| Graphical workflow system for modification calling by machine learning of reverse transcription signatures L Schmidt, S Werner, T Kemmer, S Niebler, M Kristen, L Ayadi, P Johe, ... Frontiers in genetics 10, 2019 | 11 | 2019 |
| Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data K Bob, D Teschner, T Kemmer, D Gomez-Zepeda, S Tenzer, B Schmidt, ... BMC bioinformatics 23 (1), 287, 2022 | 4 | 2022 |
| CorCast: A Distributed Architecture for Bayesian Epidemic Nowcasting and its Application to District-Level SARS-CoV-2 Infection Numbers in Germany AK Hildebrandt, K Bob, D Teschner, T Kemmer, J Leclaire, B Schmidt, ... medRxiv, 2021.06. 02.21258209, 2021 | 4 | 2021 |
| NESSie. jl–Efficient and intuitive finite element and boundary element methods for nonlocal protein electrostatics in the Julia language T Kemmer, S Rjasanow, A Hildebrandt Journal of computational science 28, 193-203, 2018 | 4 | 2018 |
| 7 The electromagnetic nature of protein–protein interactions AK Hildebrandt, T Kemmer, A Hildebrandt Conductive Polymers–Electrical Interactions in Cell Biology and Medicine …, 2017 | 2 | 2017 |
| Space-efficient and exact system representations for the nonlocal protein electrostatics problem T Kemmer Institute of Computer Science, Johannes Gutenberg University Mainz, Germany, 2020 | 1 | 2020 |
| CUDA-accelerated protein electrostatics in linear space T Kemmer, S Hack, B Schmidt, A Hildebrandt Journal of Computational Science 70, 102022, 2023 | | 2023 |
| Locality-sensitive hashing enables signal classification in high-throughput mass spectrometry raw data at scale K Bob, D Teschner, T Kemmer, D Gomez-Zepeda, S Tenzer, B Schmidt, ... bioRxiv, 2021.07. 01.450702, 2021 | | 2021 |
| METHOD FOR DETECTING KNOWN NUCLEOTIDE MODIFICATIONS IN AN RNA M Helm, R Hauenschild, L Tserovski, S Werner, A Hildebrandt, J Leclaire, ... US Patent App. 16/483,896, 2019 | | 2019 |
| Towards prediction of epigenetics-related protein types T Kemmer Institute of Computer Science, Johannes Gutenberg University Mainz, Germany, 2014 | | 2014 |
