Bastien Cazaux

The paper introduces K2Rmini, a tool that efficiently filters sequences based on k-mer matches, achieving 2 Gbp/s on a consumer laptop.

The paper introduces Onika, a system using inverted indexes for efficient sequence similarity search, improving scalability and performance over existing tools.

K2R efficiently indexes sequencing datasets to identify reads containing specific k-mers, outperforming existing methods in speed and resource usage.

The paper introduces CBL, a dynamic and exact k-mer set representation that outperforms existing methods and supports in-place set operations.

The paper introduces a Python package for efficiently searching di-PWM motifs in sequences, offering an easy-to-use interface and example scripts.

This paper surveys long-read mapping algorithms, highlighting their evolution from seed-and-extend to seed-and-chain frameworks and introduces a visualization tool for parameter settings.

The paper introduces NIQKI, a novel indexing method for genomic databases that improves query speed and scalability compared to existing approaches.