Improved interpretability of bacterial genome-wide associations using gene cluster centric k-mers
Hannes Neubauer, Marco Galardini
This paper introduces a method to improve the interpretability of bacterial GWAS by linking k-mers to gene clusters, demonstrating its precision and scalability on real datasets.
bioRxiv · Apr 11, 2023 · PreprintBioinformatics