Despite successful therapy, because of the presence of viral reservoirs, HIV is not completely removed from the infected organism. A major reservoir consists of infected resting CD4+ T cells, mainly memory cells, which, due to stable proviral injection and a long cell lifespan, survive over time. Resting cells do not contain viral particles and are shielded from cytotoxicity or immune killing that is caused by viruses. However through stochastic events or by external stimuli, these latently infected cells may be reactivated. Studying biological processes, including viral infections, benefits from innovative exploration and discovery technologies. New advances have focused on genome-wide analyses over the past decade, including high-throughput genome and transcriptome sequencing technologies, as well as mass spectrometry-based proteomic analysis technologies. The goal of these technologies is to provide the most detailed snapshot image of a particular cellular material, producing large amounts of data. Large-scale datasets, in turn, involve the creation of instruments and methods to effectively manage and analyze these data. Normal phylogenetic inference is the most common evolutionary analysis conducted on HIV sequences. Phylogenetic trees provide valuable knowledge on the structure of the lineages' genetic diversity. Phylogenies represent major groups in the results, as in common hierarchical cluster analysis. Normal phylogenetic inference is the most common evolutionary analysis conducted on HIV sequences. Phylogenetic trees provide valuable knowledge on the structure of the lineages' genetic diversity. Phylogenies represent major groups in the results, as in common hierarchical cluster analysis. People who are interested can send their article towards our journal for publication through this https://www.scholarscentral.org/submissions/hiv-aids-research.html