Accurate single nucleotide variant detection in viral populations by combining probabilistic clustering with a statistical test of strand bias.

Abstract excerpt

BACKGROUND: Deep sequencing is a powerful tool for assessing viral genetic diversity. Such experiments harness the high coverage afforded by next generation sequencing protocols by treating sequencing reads as a population sample. Distinguishing true single nucleotide variants (SNVs) from sequencing errors remains challenging, however. Current protocols are characterised by high false positive rates, with results...

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