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A new user-friendly tool called ClusterV-Web has been developed for profiling HIV quasispecies and generating drug resistance reports from Nanopore long-read data. The tool aims to simplify the process of identifying single nucleotide genetic polymorphism sites using machine learning methods. Additionally, Oxford nanopore sequencing has been found to be a multiplexed sensor for the detection of blood serum biomarkers. These advancements in HIV research and genetic analysis have the potential to improve treatment strategies and biomarker detection in the future.