View source: R/methyl_circle_plot.R
methyl_circle_plotCpG | R Documentation |
Draws CpG site methylation status as points, in reads containing a specific CpG site. Generates one plot per bam file.
methyl_circle_plotCpG(
cpgsite = cpgsite,
bamFile = bamFile,
pointSize = 3,
refFile = refFile,
dame = NULL,
order = FALSE,
sampleName = NULL,
sampleReads = FALSE,
numReads = 20
)
cpgsite |
GRanges object containing a single CpG site location of interest |
bamFile |
bismark bam file path |
pointSize |
Size of methylation circles. Default = 3. |
refFile |
fasta reference file path |
dame |
(optional) GRanges object containing a region to plot |
order |
Whether reads should be sorted by methylation status. Default= False. |
sampleName |
Plot title. |
sampleReads |
Whether a subset of reads should be plotted. Default = FALSE. |
numReads |
Number of reads to plot, if sampleReads is TRUE. Default = 20 |
Plot
DATA_PATH_DIR <- system.file('extdata', '.', package = 'DAMEfinder')
get_data_path <- function(file_name) file.path(DATA_PATH_DIR, file_name)
bam_files <- get_data_path('NORM1_chr19_trim.bam')
sample_names <- 'NORM1'
#reference_file
suppressPackageStartupMessages({library(BSgenome.Hsapiens.UCSC.hg19)})
genome <- BSgenome.Hsapiens.UCSC.hg19
seqnames(genome) <- gsub("chr","",seqnames(genome))
dna <- DNAStringSet(genome[[19]], use.names = TRUE)
names(dna) <- 19
cpg <- GenomicRanges::GRanges(19, IRanges::IRanges(292082, width = 1))
methyl_circle_plotCpG(cpgsite = cpg,
bamFile = bam_files,
refFile = dna)
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