Fig. 1: SNVs are dependent on each other.
From: Detecting and phasing minor single-nucleotide variants from long-read sequencing data
a An IGV (Integrative Genomics Viewer)34 snapshot demonstrating how to use the information of multiple loci to increase the detection accuracy of SNVs. The number of reads containing the five SNVs marked by black boxes is 28 and the number of reads covering the five SNVs is 23,432. The observed and expected joint probabilities of the five SNVs are shown to the left of the IGV snapshot. Some reads are not shown in the figure due to the limit of figure size. b The distribution of substitution rate on the Bordetella spp. data. No outlier is removed in the Sina plot. c The distribution of maximal conditional substitution rate estimated by the RSM algorithm on the Bordetella spp. data. No outlier is removed in the Sina plot. Source data are provided as a Source Data file.
