Dominik G. Grimm

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

permGWAS2 improves permutation-based GWAS by reducing computational demands and accounting for population structure, achieving lower false discovery rates.

Efficient Permutation-based Genome-wide Association Studies for Normal and Skewed Phenotypic Distributions

The paper introduces permGWAS, a permutation-based GWAS method that improves significance thresholds for skewed phenotypes and reduces false discovery rates compared to Bonferroni correction.

GWAS-Flow: A GPU accelerated framework for efficient permutation based genome-wide association studies

GWAS-Flow is a GPU-accelerated framework for efficient permutation-based GWAS, outperforming custom scripts in speed without loss of accuracy.

The rate and potential relevance of new mutations in a colonizing plant lineage

The paper estimates the mutation rate and evolutionary relevance in a colonizing plant lineage using historical and modern genomic data.