Function to plot variant metrics — plot

This function allows you to plot the mito mutation metrics For each category(stringency), p1: Variant allele frequency(VAF); p2: Heteroplasmy histogram p3: CellN(Number of caells that carry the variants) VS maxcts( The number of variant counts in the highest cell) p4: Histogram to show the distribution of the number of variant per cell

plot_variant(ob, p4xlim = 50, QualifyCellCut = 10)

Arguments

ob: The redeemR object
p4xlim: the p4 xlim(number of variant per cell), default is 50
QualifyCellCut: median coverage for qualified cells, default is 10

Value

no returns, directly plot

Examples

plot_variant(DN1CD34_1.VariantsGTSummary,DN1CD34_1.Variants.feature.lst,depth=DN1CD34_1.depth,cat=c("Total","VerySensitive","Sensitive","Specific"),p4xlim = 30)
#> Error in plot_variant(DN1CD34_1.VariantsGTSummary, DN1CD34_1.Variants.feature.lst,     depth = DN1CD34_1.depth, cat = c("Total", "VerySensitive",         "Sensitive", "Specific"), p4xlim = 30): unused arguments (depth = DN1CD34_1.depth, cat = c("Total", "VerySensitive", "Sensitive", "Specific"))