ggMutDens | R Documentation |
make a ggplot with density traces of mutations per base pair, for 'most mutated' tumor types in a given interval
ggMutDens( bq, basicfilt = function(data) dplyr::filter(data, Consequence == "non_coding_transcript_exon_variant"), chrname = "15", start = 20450000, end = 20730000, project_volume = 5, maxnrec = 50000, binwidth = 5000, xlab.in = " " )
bq |
bigrquery BigQueryConnection instance |
basicfilt |
a dplyr::filter operation, defaulting to select non-coding variants in mc3 MAF |
chrname |
character(1) chromosome token in NCBI seqlevels style |
start |
numeric(1) base coordinate to start |
end |
numeric(1) base coordinate to end |
project_volume |
numeric(1) tumor types will have different numbers of contributions; this parameter tells how many tumor types to represent, counting down from the most frequently represented |
maxnrec |
numeric(1) for as.data.frame |
binwidth |
numeric(1) passed to geom_freqpoly |
xlab.in |
character(1) passed to ggplot2::xlab |
instance of ggplot
if (interactive()) { if (!requireNamespace("ggplot2")) stop("install ggplot2 to run this function") bq = try(pancan_BQ()) if (!inherits(bq, "try-error")) { ggMutDens(bq) } }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.