DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks. - Jakub M. Bartoszewicz; Anja Seidel; Robert Rentzsch; Bernhard Y. Renard (Bioinform., 2020)

Deep learning-based real-time detection of novel pathogens during sequencing. - Jakub M. Bartoszewicz; Ulrich Genske; Bernhard Y. Renard (Briefings Bioinform., 2021)

Detecting DNA of novel fungal pathogens using ResNets and a curated fungi-hosts data collection. - Jakub M. Bartoszewicz; Ferdous Nasri; Melania Nowicka; Bernhard Y. Renard (Bioinform., 2022)

CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance. - Alice Wittig; Fábio Miranda 002; Martin Hölzer; Tom Altenburg; Jakub M. Bartoszewicz; Sebastian Beyvers; Marius A. Dieckmann; Ulrich Genske; Sven H. Giese; Melania Nowicka; Hugues Richard; Henning Schiebenhoefer; et al. (Bioinform., 2022)

Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences - Jakub M. Bartoszewicz (2022)

Evaluating Tuning Strategies for Sequence Generation with Protein Language Models. - Andrea Nathansen; Kevin Klein 004; Bernhard Y. Renard; Melania Nowicka; Jakub M. Bartoszewicz (MLCB, 2023)

Beware of Data Leakage from Protein LLM Pretraining. - Leon Hermann; Tobias Fiedler; Hoang An Nguyen; Melania Nowicka; Jakub M. Bartoszewicz (MLCB, 2024)