Drug resistance mutations in HIV: new bioinformatics approaches and challenges

[Display omitted] •Machine learning is increasingly used to predict and understand drug resistance in HIV.•Phylogenetics helps to track the emergence and spread of HIV drug resistance mutations.•Deep sequencing accurately measures within-host HIV genetic diversity and low frequency resistant variant...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Current opinion in virology 2021-12, Vol.51, p.56-64
Hauptverfasser:	Blassel, Luc, Zhukova, Anna, Villabona-Arenas, Christian J, Atkins, Katherine E, Hué, Stéphane, Gascuel, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Biodiversity Computational Biology Drug Resistance, Viral - genetics HIV - classification HIV - drug effects HIV - genetics HIV Infections - drug therapy HIV Infections - virology Humans Life Sciences Mutation Phylogeny
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!