title: Characterization of Viral Populations by Using Circular Sequencing.
abstract: With the enormous sizes viral populations reach, many variants are at too low a frequency to be detected by conventional next-generation sequencing (NGS) methods. Circular sequencing (CirSeq) is a method by which the error rate of next-generation sequencing is decreased so that even low-frequency viral variants can be accurately detected. The ability to visualize almost the entire genetic makeup of a viral swarm has implications for epidemiology, viral evolution, and vaccine design. Here we discuss experimental planning, analysis, and recent insights using CirSeq.
authors.affiliation: Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA.
authors.forename: Zachary J
authors.initials: ZJ
authors.lastname: Whitfield
authors.affiliation: Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA raul.andino@ucsf.edu.
authors.forename: Raul
authors.initials: R
authors.lastname: Andino
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D056186:Metagenomics / Q000379:methods*; D014773:Virology / Q000379:methods*; D014780:Viruses / Q000145:classification* / Q000235:genetics*