Unknown

Dataset Information

Quantifying Next Generation Sequencing Sample Pre-Processing Bias in HIV-1 Complete Genome Sequencing.


ABSTRACT: Genetic analyses play a central role in infectious disease research. Massively parallelized "mechanical cloning" and sequencing technologies were quickly adopted by HIV researchers in order to broaden the understanding of the clinical importance of minor drug-resistant variants. These efforts have, however, remained largely limited to small genomic regions. The growing need to monitor multiple genome regions for drug resistance testing, as well as the obvious benefit for studying evolutionary and epidemic processes makes complete genome sequencing an important goal in viral research. In addition, a major drawback for NGS applications to RNA viruses is the need for large quantities of input DNA. Here, we use a generic overlapping amplicon-based near full-genome amplification protocol to com

SUBMITTER: Vrancken B 

PROVIDER: S-EPMC4728572 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature