Plot genome-wide mutation counts.

Plot a genome-wide histogram of mutation counts, binned every one megabase (`1e6` nucleotides).

plot_gw_counts(x, chromosomes = paste0("chr", c(1:22, "X", "Y")))

Arguments

x

A CNAqc object.

chromosomes

The chromosomes to use for this plot.

Value

A ggplot2 plot.

Examples

data('example_dataset_CNAqc', package = 'CNAqc')
x = init(mutations = example_dataset_CNAqc$mutations, cna = example_dataset_CNAqc$cna, purity = example_dataset_CNAqc$purity)
#> 
#> ── CNAqc - CNA Quality Check ───────────────────────────────────────────────────
#> 
#> ℹ Using reference genome coordinates for: GRCh38.
#> ✔ Found annotated driver mutations: TTN, CTCF, and TP53.
#> ✔ Fortified calls for 12963 somatic mutations: 12963 SNVs (100%) and 0 indels.
#> ! CNAs have no CCF, assuming clonal CNAs (CCF = 1).
#> ✔ Fortified CNAs for 267 segments: 267 clonal and 0 subclonal.
#> ✔ 12963 mutations mapped to clonal CNAs.

plot_gw_counts(x)