plotConsensusPeaks: Given the output from getConsensusPeaks, generate a barplot...
In ewymathe/testALTREinstall: Workflow for Identifying Regulatory Elements from Chromatin Accessibility Assay Data
Description
Usage
Arguments
Value
Examples
Description
Given the output from getConsensusPeaks, generate a barplot
of countstatistics
Usage
1
plotConsensusPeaks(samplepeaks)
Arguments
samplepeaks
output generated from getConsensusPeaks
Value
a ggplot
Examples
1
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## Not run:
dir <- system.file('extdata', package='ALTRE', mustWork=TRUE)
csvfile <- file.path(dir, 'lung.csv')
sampleinfo <- loadCSVFile(csvfile)
samplePeaks <- loadBedFiles(sampleinfo)
consPeaks <- getConsensusPeaks(samplepeaks=samplePeaks, minreps=2)
plotConsensusPeaks(samplepeaks = consPeaks)
## End(Not run)
ewymathe/testALTREinstall documentation built on May 16, 2019, 9:42 a.m.
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Description Usage Arguments Value Examples
Description
Given the output from getConsensusPeaks, generate a barplot of countstatistics
Usage
1 | plotConsensusPeaks(samplepeaks)
|
Arguments
samplepeaks |
output generated from getConsensusPeaks |
Value
a ggplot
Examples
1 2 3 4 5 6 7 8 9 | ## Not run:
dir <- system.file('extdata', package='ALTRE', mustWork=TRUE)
csvfile <- file.path(dir, 'lung.csv')
sampleinfo <- loadCSVFile(csvfile)
samplePeaks <- loadBedFiles(sampleinfo)
consPeaks <- getConsensusPeaks(samplepeaks=samplePeaks, minreps=2)
plotConsensusPeaks(samplepeaks = consPeaks)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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