Next-generation sequencing datasets as a tool to study evolutionary patterns in HIV-1 genomes
Author(s)
Abstract

Human immunodeficiency virus (HIV) that causes Acquired Immuno Deficiency Syndrome (AIDS) remains an important public health challenge worldwide, with numerous vaccine and drug development efforts being underway. Being able to accurately estimate the rate of evolutionary changes in various regions of the viral genomes, including viral epitopes, is an important aspect of the vaccine development. In this study we will review publicly available high-throughput sequencing datasets (derived through the so-called next-generation sequencing technologies that encompass Roche 454, Illumina and other approaches) and their utility to estimate the rates of sequence changes in viral epitopes.

Format
Conference Proceeding
Publication Date
2016-03-15
Contributor(s)
Faculty Mentor
Madara Hetti Archchilage
Reeba Paul
Helen Piontkivska
Subject
Modified Abstract

Human immunodeficiency virus (HIV) that causes Acquired Immuno Deficiency Syndrome (AIDS) remains an important public health challenge worldwide, with numerous vaccine and drug development efforts being underway. Being able to accurately estimate the rate of evolutionary changes in various regions of the viral genomes, including viral epitopes, is an important aspect of the vaccine development. In this study we will review publicly available high-throughput sequencing datasets (derived through the so-called next-generation sequencing technologies that encompass Roche 454, Illumina and other approaches) and their utility to estimate the rates of sequence changes in viral epitopes.

Permalink https://oaks.kent.edu/ugresearch/2016/2016all/23
Reese, C., Arachchilage, M., Paul, R., & Piontkivska, H. (2016). Next-generation sequencing datasets as a tool to study evolutionary patterns in HIV-1 genomes (1–). https://oaks.kent.edu/node/5293
Reese, Christopher, Madara Arachchilage, Reeba Paul, and Helen Piontkivska. 2016. “Next-Generation Sequencing Datasets As a Tool to Study Evolutionary Patterns in HIV-1 Genomes”. https://oaks.kent.edu/node/5293.
Reese, Christopher, et al. Next-Generation Sequencing Datasets As a Tool to Study Evolutionary Patterns in HIV-1 Genomes. 15 Mar. 2016, https://oaks.kent.edu/node/5293.