Marcel Dunaiski

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 paper uses disaggregation regression to predict dengue incidence in Africa from aggregated data, showing better alignment with reported cases than environmental suitability models.

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.