Maura John

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

D. Grimm, Sebastian J. Schultheiss, Rupashree Dass, 2022, Frontiers in Plant Science.

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions

D. Grimm, A. Korte, Jan A. Freudenthal, 2022, bioRxiv.

The benefits of permutation-based genome-wide association studies

Maura John, Domink G Grimm, Arthur Korte, 2024, Journal of experimental botany.

permGWAS2: Enhanced and Accelerated Permutation-based Genome-Wide Association Studies

Maura John, Arthur Korte, Dominik G Grimm, 2023, bioRxiv.

Superior protein thermophilicity prediction with protein language model embeddings

J. P. Fuenzalida-Werner, Florian Haselbeck, Maura John, 2023, NAR genomics and bioinformatics.