Whole Genome Deep Sequencing of HIV-1 Reveals the Impact of Early Minor Variants Upon Immune Recognition During Acute Infection

Deep sequencing technologies have the potential to transform the study of highly variable viral pathogens by providing a rapid and cost-effective approach to sensitively characterize rapidly evolving viral quasispecies. Here, we report on a high-throughput whole HIV-1 genome deep sequencing platform...

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Bibliographic Details
Main Authors: Henn, Matthew R., Boutwell, Christian L., Charlebois, Patrick, Lennon, Niall J., Power, Karen A., Macalalad, Alexander R., Berlin, Aaron M., Malboeuf, Christine M., Ryan, Elizabeth M., Gnerre, Sante, Zody, Michael C., Erlich, Rachel L., Green, Lisa M., Berical, Andrew, Wang, Yaoyu, Casali, Monica, Streeck, Hendrik, Bloom, Allyson K., Dudek, Tim, Tully, Damien, Newman, Ruchi, Axten, Karen L., Gladden, Adrianne D., Battis, Laura, Kemper, Michael, Zeng, Qiandong, Shea, Terrance P., Gujja, Sharvari, Zedlack, Carmen, Gasser, Olivier, Brander, Christian, Hess, Christoph, Günthard, Huldrych F., Brumme, Zabrina L., Brumme, Chanson J., Bazner, Suzane, Rychert, Jenna, Tinsley, Jake P., Mayer, Ken H., Rosenberg, Eric, Pereyra, Florencia, Levin, Joshua Z., Young, Sarah K., Jessen, Heiko, Altfeld, Marcus, Birren, Bruce W., Walker, Bruce D., Allen, Todd M.
Format: Online
Language:English
Published: Public Library of Science 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297584/