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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.
Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity Not my expertise, but to be able to sequence PTMs is extremely interesting! https://t.co/JqBVXuw9Qq
Oxford nanopore sequencing as a multiplexed sensor for the detection of blood serum biomarkers https://t.co/i5oBBmWwHx
PanKmer: k-mer based and reference-free pangenome analysis. #Pangenomes #kmers #ReferenceFree #Bioinformatics https://t.co/jT60o9M89H
Identification of single nucleotide genetic polymorphism sites using machine learning methods https://t.co/zjYo8rNa3x #biorxiv_bioinfo
ClusterV-Web: A User-Friendly Tool for Profiling HIV Quasispecies and Generating Drug Resistance Reports from Nanopore Long-Read Data https://t.co/okPSZx1HYu #biorxiv_bioinfo