Optimized phylogenetic clustering of HIV-1 sequence data for public health applications.

Optimized phylogenetic clustering of HIV-1 sequence data for public health applications.

Clusters of genetically similar infections suggest rapid transmission and may indicate priorities for public health action or reveal underlying epidemiological processes. However, clusters often require user-defined thresholds and are sensitive to non-epidemiological factors, such as non-random samp...

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Bibliographic Details
Main Authors:	Connor Chato, Yi Feng, Yuhua Ruan, Hui Xing, Joshua Herbeck, Marcia Kalish, Art F Y Poon
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2022-11-01
Series:	PLoS Computational Biology
Online Access:	https://doi.org/10.1371/journal.pcbi.1010745

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