drawFeatures: drawFeatures

In BubbleTree: BubbleTree: an intuitive visualization to elucidate tumoral aneuploidy and clonality in somatic mosaicism using next generation sequencing data

Description

draw the features

Usage

drawFeatures(.Object, rbd, col = NULL)

## S4 method for signature 'BTreePlotter'
drawFeatures(.Object, rbd, col = "black")

Arguments

.Object	the object
rbd	the rbd object
col	the col value

Value

draw the annotation on the track

Examples

load(system.file("data", "allCall.lst.RData", package="BubbleTree"))
load(system.file("data", "cancer.genes.minus2.rda", package="BubbleTree"))
load(system.file("data", "vol.genes.rda", package="BubbleTree"))
load(system.file("data", "gene.uni.clean.gr.rda", package="BubbleTree"))
load(system.file("data", "cyto.gr.rda", package="BubbleTree"))

# 77 common cancer genes merged from 2 sets
comm <- btcompare(vol.genes, cancer.genes.minus2)

btreeplotter <- new("BTreePlotter", branch.col="gray50")
annotator <- new("Annotate")

nn <- "sam12"
cc <- allCall.lst[[nn]]
z <- drawBTree(btreeplotter, [e-mail]) + 
    ggplot2::labs(title=sprintf("%s (%s)", nn, info(cc)))
out <- cc@result$dist  %>% filter(seg.size >= 0.1 ) %>% 
    arrange(gtools::mixedorder(as.character(seqnames)), start)

ann <- with(out, {
    annoByGenesAndCyto(annotator,
                       as.character(out$seqnames),
                       as.numeric(out$start),
                       as.numeric(out$end),
                       comm$comm,
                       gene.uni.clean.gr=gene.uni.clean.gr,
                       cyto.gr=cyto.gr)
})

out$cyto <- ann$cyto
out$genes <- ann$ann
v <- z + drawFeatures(btreeplotter, out)
print(v)

BubbleTree documentation built on Nov. 8, 2020, 8:22 p.m.