Identifying high-confidence variants in human cytomegalovirus genomes sequenced from clinical samples.

ABSTRACT: Understanding the intrahost evolution of viral populations has implications in pathogenesis, diagnosis, and treatment and has recently made impressive advances from developments in high-throughput sequencing. However, the underlying analyses are very sensitive to sources of bias, error, and artefact in the data, and it is important that these are addressed adequately if robust conclusions are to be drawn. The key factors include (1) determining the number of viral strains present in the sample analysed; (2) monitoring the extent to which the data represent these strains and assessing the quality of these data; (3) dealing with the effects of cross-contamination; and (4) ensuring that the results are reproducible. We investigated these factors by generating sequence datasets, including biol

SUBMITTER: Camiolo S 

PROVIDER: S-EPMC10120596 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature