BioinformaticsPLoS ONEPeer-reviewed
An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes
Stephen Solis-Reyes, Mariano Avino, Art F. Y. Poon, Lila Kari A
The paper introduces an open-source, alignment-free k-mer based tool for accurate and fast HIV-1 subtype classification, achieving 97% accuracy and outperforming existing methods in speed and privacy.
97 citations