Estimating time of HIV-1 infection from next-generation sequence diversity

Estimating the time since infection (TI) in newly diagnosed HIV-1 patients is challenging, but important to understand the epidemiology of the infection. Here we explore the utility of virus diversity estimated by next-generation sequencing (NGS) as novel biomarker by using a recent genome-wide long...

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Veröffentlicht in:	PLoS computational biology 2017-10, Vol.13 (10), p.e1005775-e1005775
Hauptverfasser:	Puller, Vadim, Neher, Richard, Albert, Jan
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome AIDS Bioinformatics Biology and Life Sciences Biomarkers Depth perception Development and progression Developmental biology Drug resistance Engineering and Technology Entropy Epidemiology Estimates Estimation Funding Gene sequencing Genome, Viral - genetics Genomes Genomics - methods High-Throughput Nucleotide Sequencing HIV HIV infections HIV Infections - epidemiology HIV Infections - virology HIV-1 - genetics Human immunodeficiency virus Humans Infections Infectious diseases Laboratories Medicine and Health Sciences Models, Statistical Mutation Patients Physical Sciences Pol gene Regression coefficients Research and analysis methods Sequence Analysis, DNA - methods Software Viruses
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