Fig. 4: The accuracy of detecting minor SNVs on pooled sequencing data.
From: Detecting and phasing minor single-nucleotide variants from long-read sequencing data

a The accuracy on PacBio Bordetella spp. data. b The accuracy on PacBio E. coli data. c The accuracy on ONT K. pneumoniae data. d The accuracy on ONT K. pneumoniae data with DNA methylation masked. e The legend of subfigures a–d RSM Random Subspace Maximization algorithm, SL single-locus algorithm, SLC single-locus algorithm with correcting sequence-context effect, and QV quality value. True positive rate = number of correctly detected SNVs/number of real SNVs. False discovery rate = 1 − number of correctly detected SNVs/number of detected SNVs. Source data are provided as a Source Data file.