Yoshihiro Shibuya

Kaminari improves approximate k-mer query performance by using k-mer minimizers and integer compression, outperforming Bloom filters in memory and speed with minimal false positive impact.

The paper introduces hyper-k-mers, a more efficient k-mer representation, and presents KFC, a tool that significantly reduces memory usage and improves speed for k-mer counting.

The paper introduces a method using IBLTs and syncmers to efficiently estimate Jaccard similarity and identify differing k-mers between genomic datasets.

The paper introduces Set-Min sketch, a probabilistic data structure for representing k-mer count tables with improved accuracy over existing methods.