MEDIPS.plotSeqCoverage: Function plots the results of the MEDIPS.seqCoverage...

In HPCBio/MEDIPS-BioC: DNA IP-seq data analysis

Description

The results of the sequence pattern coverage analysis will be visualized in two possible ways.

Usage

MEDIPS.plotSeqCoverage(seqCoverageObj=NULL, main=NULL, type="pie", cov.level = c(0,1,2,3,4,5), t="Inf")

Arguments

seqCoverageObj	The coverage results object returned by the MEDIPS.seqCoverage function.
main	The title of the coverage plot.
type	there are two types of visualization. The pie chart (default) illustrates the fraction of CpGs covered by the given reads at different coverage level (see also the parameter cov.level). As an alternative, a histogram over all coverage level can be ploted ("hist").
cov.level	The pie chart illustrates the fraction of CpGs covered by the given reads according to their coverage level. The visualized coverage levels can be adjusted by the cov.level parameter.
t	specifies the maximal coverage depth to be plotted, if type="hist"

Value

The sequence pattern coverage plot will be visualized.

Author(s)

Lukas Chavez

Examples

library(MEDIPSData)
library(BSgenome.Hsapiens.UCSC.hg19)
bam.file.hESCs.Rep1.MeDIP = system.file("extdata", "hESCs.MeDIP.Rep1.chr22.bam", package="MEDIPSData")

cr=MEDIPS.seqCoverage(file=bam.file.hESCs.Rep1.MeDIP, pattern="CG", BSgenome="BSgenome.Hsapiens.UCSC.hg19", chr.select="chr22", extend=250, shift=0, uniq=1e-3, paired=FALSE)

MEDIPS.plotSeqCoverage(seqCoverageObj=cr, main="Sequence pattern coverage", type="pie", cov.level = c(0,1,2,3,4,5))

HPCBio/MEDIPS-BioC documentation built on May 30, 2019, 12:44 p.m.