Nature Communications (Mar 2022)

Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data

  • Yunxi Liu,
  • Joshua Kearney,
  • Medhat Mahmoud,
  • Bryce Kille,
  • Fritz J. Sedlazeck,
  • Todd J. Treangen

DOI
https://doi.org/10.1038/s41467-022-28852-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Tracking low frequency intra-host variants has helped understanding within-host viral population dynamics and transmission. Precise tracking, however, depends partially on the error rate of the sequencing platforms used. Here, Liu et al. present Variabel, a method to rescue low frequency intra-host variants from Oxford Nanopore Technologies (ONT) platforms and validate their approach on Ebola virus, norovirus, and SARS-CoV-2 datasets.