Daniel J. van Zyl

Anniemap improves viral short-read alignment by using vector similarity search, achieving higher sensitivity and throughput, especially for divergent genomes like HIV and HCV.

This study evaluates alignment-free methods for viral sequence classification, showing high accuracy and efficiency on SARS-CoV-2, dengue, and HIV datasets.

Craft is a machine learning framework for dengue subtyping that achieves high accuracy and speed, outperforming existing tools in classification efficiency.